Upload folder using huggingface_hub
Browse files- checkpoints-v2/checkpoint-21504/ema.safetensors +3 -0
- checkpoints-v2/checkpoint-21504/model.safetensors +3 -0
- checkpoints-v2/checkpoint-21504/optimizer.pt +3 -0
- checkpoints-v2/checkpoint-21504/rng_state.pth +3 -0
- checkpoints-v2/checkpoint-21504/scaler.pt +3 -0
- checkpoints-v2/checkpoint-21504/scheduler.pt +3 -0
- checkpoints-v2/checkpoint-21504/trainer_state.json +1147 -0
- checkpoints-v2/checkpoint-21504/training_args.bin +3 -0
checkpoints-v2/checkpoint-21504/ema.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f22521d9f345a6a44b7649fb2c0a498b989800da88cf4ac5434511e4c9af722b
|
| 3 |
+
size 550088
|
checkpoints-v2/checkpoint-21504/model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3ab95f50fb80d71435bf1f245adce7fadbab26c17bb3fdc5de5639fb3f22274e
|
| 3 |
+
size 19187608
|
checkpoints-v2/checkpoint-21504/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a95fdbd70093ad1924bc06f3700833d937d6f9000e291a99b958bb53110c9af2
|
| 3 |
+
size 1175115
|
checkpoints-v2/checkpoint-21504/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:76811559f30210107011770fcc2e9451824642c3757267b25124ab0a130c76df
|
| 3 |
+
size 14645
|
checkpoints-v2/checkpoint-21504/scaler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d33e4320a765953723f7a30bfff283409fbe9de50afbe409c9ff114bbb38e05b
|
| 3 |
+
size 1383
|
checkpoints-v2/checkpoint-21504/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e3a449a48ea6685d20c37b114ec7aedad66c1344e38c4fd546eca50e83f37228
|
| 3 |
+
size 1465
|
checkpoints-v2/checkpoint-21504/trainer_state.json
ADDED
|
@@ -0,0 +1,1147 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_global_step": null,
|
| 3 |
+
"best_metric": null,
|
| 4 |
+
"best_model_checkpoint": null,
|
| 5 |
+
"epoch": 0.9932104752667313,
|
| 6 |
+
"eval_steps": 1024,
|
| 7 |
+
"global_step": 21504,
|
| 8 |
+
"is_hyper_param_search": false,
|
| 9 |
+
"is_local_process_zero": true,
|
| 10 |
+
"is_world_process_zero": true,
|
| 11 |
+
"log_history": [
|
| 12 |
+
{
|
| 13 |
+
"epoch": 0.011823934229365849,
|
| 14 |
+
"grad_norm": 0.39305946230888367,
|
| 15 |
+
"learning_rate": 0.000498046875,
|
| 16 |
+
"loss": 1.780936598777771,
|
| 17 |
+
"step": 256
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"epoch": 0.023647868458731697,
|
| 21 |
+
"grad_norm": 0.4956166744232178,
|
| 22 |
+
"learning_rate": 0.000998046875,
|
| 23 |
+
"loss": 1.21787691116333,
|
| 24 |
+
"step": 512
|
| 25 |
+
},
|
| 26 |
+
{
|
| 27 |
+
"epoch": 0.03547180268809755,
|
| 28 |
+
"grad_norm": 0.46151286363601685,
|
| 29 |
+
"learning_rate": 0.000999640996023194,
|
| 30 |
+
"loss": 1.1046085357666016,
|
| 31 |
+
"step": 768
|
| 32 |
+
},
|
| 33 |
+
{
|
| 34 |
+
"epoch": 0.047295736917463395,
|
| 35 |
+
"grad_norm": 0.4608488082885742,
|
| 36 |
+
"learning_rate": 0.0009985588674043958,
|
| 37 |
+
"loss": 1.0648458003997803,
|
| 38 |
+
"step": 1024
|
| 39 |
+
},
|
| 40 |
+
{
|
| 41 |
+
"epoch": 0.047295736917463395,
|
| 42 |
+
"eval_cos_loss": 0.3708630034096165,
|
| 43 |
+
"eval_loss": 1.0313464179975258,
|
| 44 |
+
"eval_mse_loss": 1.0313464179975258,
|
| 45 |
+
"flow/cos_sim": 0.6291370091100806,
|
| 46 |
+
"flow/improvement_ratio": 0.45305174915757895,
|
| 47 |
+
"flow/mag_ratio_mean": 0.636674555197154,
|
| 48 |
+
"flow/mag_ratio_std": 0.21184622356880745,
|
| 49 |
+
"step": 1024
|
| 50 |
+
},
|
| 51 |
+
{
|
| 52 |
+
"epoch": 0.047295736917463395,
|
| 53 |
+
"eval_cos_loss": 0.3708630034096165,
|
| 54 |
+
"eval_loss": 1.0313464179975258,
|
| 55 |
+
"eval_mse_loss": 1.0313464179975258,
|
| 56 |
+
"eval_runtime": 51.0215,
|
| 57 |
+
"eval_samples_per_second": 548.652,
|
| 58 |
+
"eval_steps_per_second": 8.585,
|
| 59 |
+
"flow/cos_sim": 0.6291370091100806,
|
| 60 |
+
"flow/improvement_ratio": 0.45305174915757895,
|
| 61 |
+
"flow/mag_ratio_mean": 0.636674555197154,
|
| 62 |
+
"flow/mag_ratio_std": 0.21184622356880745,
|
| 63 |
+
"step": 1024
|
| 64 |
+
},
|
| 65 |
+
{
|
| 66 |
+
"epoch": 0.05911967114682925,
|
| 67 |
+
"grad_norm": 0.42826929688453674,
|
| 68 |
+
"learning_rate": 0.0009967551747861387,
|
| 69 |
+
"loss": 1.0448938608169556,
|
| 70 |
+
"step": 1280
|
| 71 |
+
},
|
| 72 |
+
{
|
| 73 |
+
"epoch": 0.0709436053761951,
|
| 74 |
+
"grad_norm": 0.44176557660102844,
|
| 75 |
+
"learning_rate": 0.000994232528651847,
|
| 76 |
+
"loss": 1.0278342962265015,
|
| 77 |
+
"step": 1536
|
| 78 |
+
},
|
| 79 |
+
{
|
| 80 |
+
"epoch": 0.08276753960556095,
|
| 81 |
+
"grad_norm": 0.4006131887435913,
|
| 82 |
+
"learning_rate": 0.0009909945800260092,
|
| 83 |
+
"loss": 1.0153039693832397,
|
| 84 |
+
"step": 1792
|
| 85 |
+
},
|
| 86 |
+
{
|
| 87 |
+
"epoch": 0.09459147383492679,
|
| 88 |
+
"grad_norm": 0.5178146362304688,
|
| 89 |
+
"learning_rate": 0.0009870460151900522,
|
| 90 |
+
"loss": 1.0096927881240845,
|
| 91 |
+
"step": 2048
|
| 92 |
+
},
|
| 93 |
+
{
|
| 94 |
+
"epoch": 0.09459147383492679,
|
| 95 |
+
"eval_cos_loss": 0.35073428046485605,
|
| 96 |
+
"eval_loss": 0.9796474619543172,
|
| 97 |
+
"eval_mse_loss": 0.9796474619543172,
|
| 98 |
+
"flow/cos_sim": 0.6492657340280542,
|
| 99 |
+
"flow/improvement_ratio": 0.45769495602067745,
|
| 100 |
+
"flow/mag_ratio_mean": 0.6580993892395333,
|
| 101 |
+
"flow/mag_ratio_std": 0.21975676535063138,
|
| 102 |
+
"step": 2048
|
| 103 |
+
},
|
| 104 |
+
{
|
| 105 |
+
"epoch": 0.09459147383492679,
|
| 106 |
+
"eval_cos_loss": 0.35073428046485605,
|
| 107 |
+
"eval_loss": 0.9796474619543172,
|
| 108 |
+
"eval_mse_loss": 0.9796474619543172,
|
| 109 |
+
"eval_runtime": 50.9087,
|
| 110 |
+
"eval_samples_per_second": 549.867,
|
| 111 |
+
"eval_steps_per_second": 8.604,
|
| 112 |
+
"flow/cos_sim": 0.6492657340280542,
|
| 113 |
+
"flow/improvement_ratio": 0.45769495602067745,
|
| 114 |
+
"flow/mag_ratio_mean": 0.6580993892395333,
|
| 115 |
+
"flow/mag_ratio_std": 0.21975676535063138,
|
| 116 |
+
"step": 2048
|
| 117 |
+
},
|
| 118 |
+
{
|
| 119 |
+
"epoch": 0.10641540806429264,
|
| 120 |
+
"grad_norm": 0.4543623626232147,
|
| 121 |
+
"learning_rate": 0.0009823925488998885,
|
| 122 |
+
"loss": 1.0023009777069092,
|
| 123 |
+
"step": 2304
|
| 124 |
+
},
|
| 125 |
+
{
|
| 126 |
+
"epoch": 0.1182393422936585,
|
| 127 |
+
"grad_norm": 0.41527411341667175,
|
| 128 |
+
"learning_rate": 0.0009770409161149525,
|
| 129 |
+
"loss": 0.9987744092941284,
|
| 130 |
+
"step": 2560
|
| 131 |
+
},
|
| 132 |
+
{
|
| 133 |
+
"epoch": 0.13006327652302435,
|
| 134 |
+
"grad_norm": 0.37379226088523865,
|
| 135 |
+
"learning_rate": 0.0009709988622506973,
|
| 136 |
+
"loss": 0.9899244904518127,
|
| 137 |
+
"step": 2816
|
| 138 |
+
},
|
| 139 |
+
{
|
| 140 |
+
"epoch": 0.1418872107523902,
|
| 141 |
+
"grad_norm": 0.4600990414619446,
|
| 142 |
+
"learning_rate": 0.000964275131968659,
|
| 143 |
+
"loss": 0.9836398959159851,
|
| 144 |
+
"step": 3072
|
| 145 |
+
},
|
| 146 |
+
{
|
| 147 |
+
"epoch": 0.1418872107523902,
|
| 148 |
+
"eval_cos_loss": 0.33966573984383447,
|
| 149 |
+
"eval_loss": 0.9576488193039481,
|
| 150 |
+
"eval_mse_loss": 0.9576488193039481,
|
| 151 |
+
"flow/cos_sim": 0.6603342864883545,
|
| 152 |
+
"flow/improvement_ratio": 0.4705073194552774,
|
| 153 |
+
"flow/mag_ratio_mean": 0.6616723446269014,
|
| 154 |
+
"flow/mag_ratio_std": 0.2178211697976883,
|
| 155 |
+
"step": 3072
|
| 156 |
+
},
|
| 157 |
+
{
|
| 158 |
+
"epoch": 0.1418872107523902,
|
| 159 |
+
"eval_cos_loss": 0.33966573984383447,
|
| 160 |
+
"eval_loss": 0.9576488193039481,
|
| 161 |
+
"eval_mse_loss": 0.9576488193039481,
|
| 162 |
+
"eval_runtime": 50.7658,
|
| 163 |
+
"eval_samples_per_second": 551.415,
|
| 164 |
+
"eval_steps_per_second": 8.628,
|
| 165 |
+
"flow/cos_sim": 0.6603342864883545,
|
| 166 |
+
"flow/improvement_ratio": 0.4705073194552774,
|
| 167 |
+
"flow/mag_ratio_mean": 0.6616723446269014,
|
| 168 |
+
"flow/mag_ratio_std": 0.2178211697976883,
|
| 169 |
+
"step": 3072
|
| 170 |
+
},
|
| 171 |
+
{
|
| 172 |
+
"epoch": 0.15371114498175603,
|
| 173 |
+
"grad_norm": 0.4591522812843323,
|
| 174 |
+
"learning_rate": 0.0009568794565203123,
|
| 175 |
+
"loss": 0.9778329133987427,
|
| 176 |
+
"step": 3328
|
| 177 |
+
},
|
| 178 |
+
{
|
| 179 |
+
"epoch": 0.1655350792111219,
|
| 180 |
+
"grad_norm": 0.506796658039093,
|
| 181 |
+
"learning_rate": 0.0009488225396630347,
|
| 182 |
+
"loss": 0.9751444458961487,
|
| 183 |
+
"step": 3584
|
| 184 |
+
},
|
| 185 |
+
{
|
| 186 |
+
"epoch": 0.17735901344048774,
|
| 187 |
+
"grad_norm": 0.6946936845779419,
|
| 188 |
+
"learning_rate": 0.0009401160421685646,
|
| 189 |
+
"loss": 0.9650535583496094,
|
| 190 |
+
"step": 3840
|
| 191 |
+
},
|
| 192 |
+
{
|
| 193 |
+
"epoch": 0.18918294766985358,
|
| 194 |
+
"grad_norm": 0.5334352254867554,
|
| 195 |
+
"learning_rate": 0.0009307725649463714,
|
| 196 |
+
"loss": 0.968015193939209,
|
| 197 |
+
"step": 4096
|
| 198 |
+
},
|
| 199 |
+
{
|
| 200 |
+
"epoch": 0.18918294766985358,
|
| 201 |
+
"eval_cos_loss": 0.3295682058350681,
|
| 202 |
+
"eval_loss": 0.9358410420210939,
|
| 203 |
+
"eval_mse_loss": 0.9358410420210939,
|
| 204 |
+
"flow/cos_sim": 0.6704318162785273,
|
| 205 |
+
"flow/improvement_ratio": 0.4610280344883601,
|
| 206 |
+
"flow/mag_ratio_mean": 0.6802759532514773,
|
| 207 |
+
"flow/mag_ratio_std": 0.21443206633198753,
|
| 208 |
+
"step": 4096
|
| 209 |
+
},
|
| 210 |
+
{
|
| 211 |
+
"epoch": 0.18918294766985358,
|
| 212 |
+
"eval_cos_loss": 0.3295682058350681,
|
| 213 |
+
"eval_loss": 0.9358410420210939,
|
| 214 |
+
"eval_mse_loss": 0.9358410420210939,
|
| 215 |
+
"eval_runtime": 50.6775,
|
| 216 |
+
"eval_samples_per_second": 552.375,
|
| 217 |
+
"eval_steps_per_second": 8.643,
|
| 218 |
+
"flow/cos_sim": 0.6704318162785273,
|
| 219 |
+
"flow/improvement_ratio": 0.4610280344883601,
|
| 220 |
+
"flow/mag_ratio_mean": 0.6802759532514773,
|
| 221 |
+
"flow/mag_ratio_std": 0.21443206633198753,
|
| 222 |
+
"step": 4096
|
| 223 |
+
},
|
| 224 |
+
{
|
| 225 |
+
"epoch": 0.20100688189921945,
|
| 226 |
+
"grad_norm": 0.23779992759227753,
|
| 227 |
+
"learning_rate": 0.0009208056308063659,
|
| 228 |
+
"loss": 0.9618788957595825,
|
| 229 |
+
"step": 4352
|
| 230 |
+
},
|
| 231 |
+
{
|
| 232 |
+
"epoch": 0.2128308161285853,
|
| 233 |
+
"grad_norm": 0.3806602358818054,
|
| 234 |
+
"learning_rate": 0.0009102296648873445,
|
| 235 |
+
"loss": 0.9570742249488831,
|
| 236 |
+
"step": 4608
|
| 237 |
+
},
|
| 238 |
+
{
|
| 239 |
+
"epoch": 0.22465475035795113,
|
| 240 |
+
"grad_norm": 0.41401633620262146,
|
| 241 |
+
"learning_rate": 0.0008990599737794927,
|
| 242 |
+
"loss": 0.9550731778144836,
|
| 243 |
+
"step": 4864
|
| 244 |
+
},
|
| 245 |
+
{
|
| 246 |
+
"epoch": 0.236478684587317,
|
| 247 |
+
"grad_norm": 0.4475092589855194,
|
| 248 |
+
"learning_rate": 0.0008873127233711644,
|
| 249 |
+
"loss": 0.9473839998245239,
|
| 250 |
+
"step": 5120
|
| 251 |
+
},
|
| 252 |
+
{
|
| 253 |
+
"epoch": 0.236478684587317,
|
| 254 |
+
"eval_cos_loss": 0.31993362566107486,
|
| 255 |
+
"eval_loss": 0.9154947232710172,
|
| 256 |
+
"eval_mse_loss": 0.9154947232710172,
|
| 257 |
+
"flow/cos_sim": 0.6800663863142876,
|
| 258 |
+
"flow/improvement_ratio": 0.4631300759778175,
|
| 259 |
+
"flow/mag_ratio_mean": 0.6912006213240427,
|
| 260 |
+
"flow/mag_ratio_std": 0.2171582194155754,
|
| 261 |
+
"step": 5120
|
| 262 |
+
},
|
| 263 |
+
{
|
| 264 |
+
"epoch": 0.236478684587317,
|
| 265 |
+
"eval_cos_loss": 0.31993362566107486,
|
| 266 |
+
"eval_loss": 0.9154947232710172,
|
| 267 |
+
"eval_mse_loss": 0.9154947232710172,
|
| 268 |
+
"eval_runtime": 50.7141,
|
| 269 |
+
"eval_samples_per_second": 551.977,
|
| 270 |
+
"eval_steps_per_second": 8.637,
|
| 271 |
+
"flow/cos_sim": 0.6800663863142876,
|
| 272 |
+
"flow/improvement_ratio": 0.4631300759778175,
|
| 273 |
+
"flow/mag_ratio_mean": 0.6912006213240427,
|
| 274 |
+
"flow/mag_ratio_std": 0.2171582194155754,
|
| 275 |
+
"step": 5120
|
| 276 |
+
},
|
| 277 |
+
{
|
| 278 |
+
"epoch": 0.24830261881668284,
|
| 279 |
+
"grad_norm": 0.39829879999160767,
|
| 280 |
+
"learning_rate": 0.0008750049154520011,
|
| 281 |
+
"loss": 0.9461303949356079,
|
| 282 |
+
"step": 5376
|
| 283 |
+
},
|
| 284 |
+
{
|
| 285 |
+
"epoch": 0.2601265530460487,
|
| 286 |
+
"grad_norm": 0.570689857006073,
|
| 287 |
+
"learning_rate": 0.0008621543631062487,
|
| 288 |
+
"loss": 0.9459335803985596,
|
| 289 |
+
"step": 5632
|
| 290 |
+
},
|
| 291 |
+
{
|
| 292 |
+
"epoch": 0.27195048727541454,
|
| 293 |
+
"grad_norm": 0.49673837423324585,
|
| 294 |
+
"learning_rate": 0.0008487796649318904,
|
| 295 |
+
"loss": 0.9424968957901001,
|
| 296 |
+
"step": 5888
|
| 297 |
+
},
|
| 298 |
+
{
|
| 299 |
+
"epoch": 0.2837744215047804,
|
| 300 |
+
"grad_norm": 0.267270028591156,
|
| 301 |
+
"learning_rate": 0.0008349001781229053,
|
| 302 |
+
"loss": 0.9410290122032166,
|
| 303 |
+
"step": 6144
|
| 304 |
+
},
|
| 305 |
+
{
|
| 306 |
+
"epoch": 0.2837744215047804,
|
| 307 |
+
"eval_cos_loss": 0.31771982879671334,
|
| 308 |
+
"eval_loss": 0.9094011069160618,
|
| 309 |
+
"eval_mse_loss": 0.9094011069160618,
|
| 310 |
+
"flow/cos_sim": 0.682280182430189,
|
| 311 |
+
"flow/improvement_ratio": 0.46761273847867363,
|
| 312 |
+
"flow/mag_ratio_mean": 0.6880964620472634,
|
| 313 |
+
"flow/mag_ratio_std": 0.21481055140359218,
|
| 314 |
+
"step": 6144
|
| 315 |
+
},
|
| 316 |
+
{
|
| 317 |
+
"epoch": 0.2837744215047804,
|
| 318 |
+
"eval_cos_loss": 0.31771982879671334,
|
| 319 |
+
"eval_loss": 0.9094011069160618,
|
| 320 |
+
"eval_mse_loss": 0.9094011069160618,
|
| 321 |
+
"eval_runtime": 51.0025,
|
| 322 |
+
"eval_samples_per_second": 548.856,
|
| 323 |
+
"eval_steps_per_second": 8.588,
|
| 324 |
+
"flow/cos_sim": 0.682280182430189,
|
| 325 |
+
"flow/improvement_ratio": 0.46761273847867363,
|
| 326 |
+
"flow/mag_ratio_mean": 0.6880964620472634,
|
| 327 |
+
"flow/mag_ratio_std": 0.21481055140359218,
|
| 328 |
+
"step": 6144
|
| 329 |
+
},
|
| 330 |
+
{
|
| 331 |
+
"epoch": 0.2955983557341462,
|
| 332 |
+
"grad_norm": 0.43064209818840027,
|
| 333 |
+
"learning_rate": 0.0008205359904536107,
|
| 334 |
+
"loss": 0.9332870841026306,
|
| 335 |
+
"step": 6400
|
| 336 |
+
},
|
| 337 |
+
{
|
| 338 |
+
"epoch": 0.30742228996351206,
|
| 339 |
+
"grad_norm": 0.45424163341522217,
|
| 340 |
+
"learning_rate": 0.0008057078912056363,
|
| 341 |
+
"loss": 0.9331082105636597,
|
| 342 |
+
"step": 6656
|
| 343 |
+
},
|
| 344 |
+
{
|
| 345 |
+
"epoch": 0.3192462241928779,
|
| 346 |
+
"grad_norm": 0.6565593481063843,
|
| 347 |
+
"learning_rate": 0.0007904373410796086,
|
| 348 |
+
"loss": 0.9313054084777832,
|
| 349 |
+
"step": 6912
|
| 350 |
+
},
|
| 351 |
+
{
|
| 352 |
+
"epoch": 0.3310701584222438,
|
| 353 |
+
"grad_norm": 0.5485164523124695,
|
| 354 |
+
"learning_rate": 0.0007747464411350876,
|
| 355 |
+
"loss": 0.9296150207519531,
|
| 356 |
+
"step": 7168
|
| 357 |
+
},
|
| 358 |
+
{
|
| 359 |
+
"epoch": 0.3310701584222438,
|
| 360 |
+
"eval_cos_loss": 0.3111404624839896,
|
| 361 |
+
"eval_loss": 0.8942771547189042,
|
| 362 |
+
"eval_mse_loss": 0.8942771547189042,
|
| 363 |
+
"flow/cos_sim": 0.688859552281088,
|
| 364 |
+
"flow/improvement_ratio": 0.46996809215578317,
|
| 365 |
+
"flow/mag_ratio_mean": 0.6797864257472835,
|
| 366 |
+
"flow/mag_ratio_std": 0.21222736455125896,
|
| 367 |
+
"step": 7168
|
| 368 |
+
},
|
| 369 |
+
{
|
| 370 |
+
"epoch": 0.3310701584222438,
|
| 371 |
+
"eval_cos_loss": 0.3111404624839896,
|
| 372 |
+
"eval_loss": 0.8942771547189042,
|
| 373 |
+
"eval_mse_loss": 0.8942771547189042,
|
| 374 |
+
"eval_runtime": 51.2111,
|
| 375 |
+
"eval_samples_per_second": 546.619,
|
| 376 |
+
"eval_steps_per_second": 8.553,
|
| 377 |
+
"flow/cos_sim": 0.688859552281088,
|
| 378 |
+
"flow/improvement_ratio": 0.46996809215578317,
|
| 379 |
+
"flow/mag_ratio_mean": 0.6797864257472835,
|
| 380 |
+
"flow/mag_ratio_std": 0.21222736455125896,
|
| 381 |
+
"step": 7168
|
| 382 |
+
},
|
| 383 |
+
{
|
| 384 |
+
"epoch": 0.34289409265160964,
|
| 385 |
+
"grad_norm": 0.3187243938446045,
|
| 386 |
+
"learning_rate": 0.000758657900803716,
|
| 387 |
+
"loss": 0.928747832775116,
|
| 388 |
+
"step": 7424
|
| 389 |
+
},
|
| 390 |
+
{
|
| 391 |
+
"epoch": 0.3547180268809755,
|
| 392 |
+
"grad_norm": 0.3337271213531494,
|
| 393 |
+
"learning_rate": 0.000742195005021869,
|
| 394 |
+
"loss": 0.925912082195282,
|
| 395 |
+
"step": 7680
|
| 396 |
+
},
|
| 397 |
+
{
|
| 398 |
+
"epoch": 0.3665419611103413,
|
| 399 |
+
"grad_norm": 0.5179343223571777,
|
| 400 |
+
"learning_rate": 0.0007253815805303786,
|
| 401 |
+
"loss": 0.923928439617157,
|
| 402 |
+
"step": 7936
|
| 403 |
+
},
|
| 404 |
+
{
|
| 405 |
+
"epoch": 0.37836589533970716,
|
| 406 |
+
"grad_norm": 0.3594360053539276,
|
| 407 |
+
"learning_rate": 0.000708309515673374,
|
| 408 |
+
"loss": 0.9226717948913574,
|
| 409 |
+
"step": 8192
|
| 410 |
+
},
|
| 411 |
+
{
|
| 412 |
+
"epoch": 0.37836589533970716,
|
| 413 |
+
"eval_cos_loss": 0.3082785013059503,
|
| 414 |
+
"eval_loss": 0.8866745081122063,
|
| 415 |
+
"eval_mse_loss": 0.8866745081122063,
|
| 416 |
+
"flow/cos_sim": 0.6917215108054958,
|
| 417 |
+
"flow/improvement_ratio": 0.46622252083260174,
|
| 418 |
+
"flow/mag_ratio_mean": 0.6977443612057325,
|
| 419 |
+
"flow/mag_ratio_std": 0.21176587402412336,
|
| 420 |
+
"step": 8192
|
| 421 |
+
},
|
| 422 |
+
{
|
| 423 |
+
"epoch": 0.37836589533970716,
|
| 424 |
+
"eval_cos_loss": 0.3082785013059503,
|
| 425 |
+
"eval_loss": 0.8866745081122063,
|
| 426 |
+
"eval_mse_loss": 0.8866745081122063,
|
| 427 |
+
"eval_runtime": 50.453,
|
| 428 |
+
"eval_samples_per_second": 554.833,
|
| 429 |
+
"eval_steps_per_second": 8.681,
|
| 430 |
+
"flow/cos_sim": 0.6917215108054958,
|
| 431 |
+
"flow/improvement_ratio": 0.46622252083260174,
|
| 432 |
+
"flow/mag_ratio_mean": 0.6977443612057325,
|
| 433 |
+
"flow/mag_ratio_std": 0.21176587402412336,
|
| 434 |
+
"step": 8192
|
| 435 |
+
},
|
| 436 |
+
{
|
| 437 |
+
"epoch": 0.390189829569073,
|
| 438 |
+
"grad_norm": 0.2854546010494232,
|
| 439 |
+
"learning_rate": 0.0006908696365085842,
|
| 440 |
+
"loss": 0.9181273579597473,
|
| 441 |
+
"step": 8448
|
| 442 |
+
},
|
| 443 |
+
{
|
| 444 |
+
"epoch": 0.4020137637984389,
|
| 445 |
+
"grad_norm": 0.6743373870849609,
|
| 446 |
+
"learning_rate": 0.0006731535118143318,
|
| 447 |
+
"loss": 0.9195088148117065,
|
| 448 |
+
"step": 8704
|
| 449 |
+
},
|
| 450 |
+
{
|
| 451 |
+
"epoch": 0.41383769802780473,
|
| 452 |
+
"grad_norm": 0.31884175539016724,
|
| 453 |
+
"learning_rate": 0.0006551867821290267,
|
| 454 |
+
"loss": 0.9166384935379028,
|
| 455 |
+
"step": 8960
|
| 456 |
+
},
|
| 457 |
+
{
|
| 458 |
+
"epoch": 0.4256616322571706,
|
| 459 |
+
"grad_norm": 0.377502977848053,
|
| 460 |
+
"learning_rate": 0.0006369954506915572,
|
| 461 |
+
"loss": 0.9148516654968262,
|
| 462 |
+
"step": 9216
|
| 463 |
+
},
|
| 464 |
+
{
|
| 465 |
+
"epoch": 0.4256616322571706,
|
| 466 |
+
"eval_cos_loss": 0.3045589508803468,
|
| 467 |
+
"eval_loss": 0.8784834154664654,
|
| 468 |
+
"eval_mse_loss": 0.8784834154664654,
|
| 469 |
+
"flow/cos_sim": 0.6954410576929241,
|
| 470 |
+
"flow/improvement_ratio": 0.4660896160150772,
|
| 471 |
+
"flow/mag_ratio_mean": 0.6896047796288581,
|
| 472 |
+
"flow/mag_ratio_std": 0.20802477359363478,
|
| 473 |
+
"step": 9216
|
| 474 |
+
},
|
| 475 |
+
{
|
| 476 |
+
"epoch": 0.4256616322571706,
|
| 477 |
+
"eval_cos_loss": 0.3045589508803468,
|
| 478 |
+
"eval_loss": 0.8784834154664654,
|
| 479 |
+
"eval_mse_loss": 0.8784834154664654,
|
| 480 |
+
"eval_runtime": 50.5191,
|
| 481 |
+
"eval_samples_per_second": 554.108,
|
| 482 |
+
"eval_steps_per_second": 8.67,
|
| 483 |
+
"flow/cos_sim": 0.6954410576929241,
|
| 484 |
+
"flow/improvement_ratio": 0.4660896160150772,
|
| 485 |
+
"flow/mag_ratio_mean": 0.6896047796288581,
|
| 486 |
+
"flow/mag_ratio_std": 0.20802477359363478,
|
| 487 |
+
"step": 9216
|
| 488 |
+
},
|
| 489 |
+
{
|
| 490 |
+
"epoch": 0.4374855664865364,
|
| 491 |
+
"grad_norm": 0.2935723066329956,
|
| 492 |
+
"learning_rate": 0.0006186058458068149,
|
| 493 |
+
"loss": 0.9158189296722412,
|
| 494 |
+
"step": 9472
|
| 495 |
+
},
|
| 496 |
+
{
|
| 497 |
+
"epoch": 0.44930950071590225,
|
| 498 |
+
"grad_norm": 0.6002705097198486,
|
| 499 |
+
"learning_rate": 0.0006000445827407526,
|
| 500 |
+
"loss": 0.9137871265411377,
|
| 501 |
+
"step": 9728
|
| 502 |
+
},
|
| 503 |
+
{
|
| 504 |
+
"epoch": 0.4611334349452681,
|
| 505 |
+
"grad_norm": 0.3263113498687744,
|
| 506 |
+
"learning_rate": 0.0005813385252001232,
|
| 507 |
+
"loss": 0.9110487103462219,
|
| 508 |
+
"step": 9984
|
| 509 |
+
},
|
| 510 |
+
{
|
| 511 |
+
"epoch": 0.472957369174634,
|
| 512 |
+
"grad_norm": 0.3971521854400635,
|
| 513 |
+
"learning_rate": 0.0005625884706462481,
|
| 514 |
+
"loss": 0.9095574021339417,
|
| 515 |
+
"step": 10240
|
| 516 |
+
},
|
| 517 |
+
{
|
| 518 |
+
"epoch": 0.472957369174634,
|
| 519 |
+
"eval_cos_loss": 0.30255618235564125,
|
| 520 |
+
"eval_loss": 0.8742554381013461,
|
| 521 |
+
"eval_mse_loss": 0.8742554381013461,
|
| 522 |
+
"flow/cos_sim": 0.6974438190732373,
|
| 523 |
+
"flow/improvement_ratio": 0.46927081490760525,
|
| 524 |
+
"flow/mag_ratio_mean": 0.6958274860360306,
|
| 525 |
+
"flow/mag_ratio_std": 0.21019614664795191,
|
| 526 |
+
"step": 10240
|
| 527 |
+
},
|
| 528 |
+
{
|
| 529 |
+
"epoch": 0.472957369174634,
|
| 530 |
+
"eval_cos_loss": 0.30255618235564125,
|
| 531 |
+
"eval_loss": 0.8742554381013461,
|
| 532 |
+
"eval_mse_loss": 0.8742554381013461,
|
| 533 |
+
"eval_runtime": 51.3022,
|
| 534 |
+
"eval_samples_per_second": 545.649,
|
| 535 |
+
"eval_steps_per_second": 8.538,
|
| 536 |
+
"flow/cos_sim": 0.6974438190732373,
|
| 537 |
+
"flow/improvement_ratio": 0.46927081490760525,
|
| 538 |
+
"flow/mag_ratio_mean": 0.6958274860360306,
|
| 539 |
+
"flow/mag_ratio_std": 0.21019614664795191,
|
| 540 |
+
"step": 10240
|
| 541 |
+
},
|
| 542 |
+
{
|
| 543 |
+
"epoch": 0.48478130340399983,
|
| 544 |
+
"grad_norm": 0.3551290035247803,
|
| 545 |
+
"learning_rate": 0.0005436745145807214,
|
| 546 |
+
"loss": 0.9060850143432617,
|
| 547 |
+
"step": 10496
|
| 548 |
+
},
|
| 549 |
+
{
|
| 550 |
+
"epoch": 0.49660523763336567,
|
| 551 |
+
"grad_norm": 0.4094627797603607,
|
| 552 |
+
"learning_rate": 0.0005246973484120841,
|
| 553 |
+
"loss": 0.9049650430679321,
|
| 554 |
+
"step": 10752
|
| 555 |
+
},
|
| 556 |
+
{
|
| 557 |
+
"epoch": 0.5084291718627315,
|
| 558 |
+
"grad_norm": 0.4399157762527466,
|
| 559 |
+
"learning_rate": 0.0005056844377834413,
|
| 560 |
+
"loss": 0.9042121767997742,
|
| 561 |
+
"step": 11008
|
| 562 |
+
},
|
| 563 |
+
{
|
| 564 |
+
"epoch": 0.5202531060920974,
|
| 565 |
+
"grad_norm": 0.5329852104187012,
|
| 566 |
+
"learning_rate": 0.0004866633000708374,
|
| 567 |
+
"loss": 0.9038464426994324,
|
| 568 |
+
"step": 11264
|
| 569 |
+
},
|
| 570 |
+
{
|
| 571 |
+
"epoch": 0.5202531060920974,
|
| 572 |
+
"eval_cos_loss": 0.3004189523183592,
|
| 573 |
+
"eval_loss": 0.8695836310789465,
|
| 574 |
+
"eval_mse_loss": 0.8695836310789465,
|
| 575 |
+
"flow/cos_sim": 0.699581062548781,
|
| 576 |
+
"flow/improvement_ratio": 0.47203471392529195,
|
| 577 |
+
"flow/mag_ratio_mean": 0.6982838295093955,
|
| 578 |
+
"flow/mag_ratio_std": 0.20910314640634137,
|
| 579 |
+
"step": 11264
|
| 580 |
+
},
|
| 581 |
+
{
|
| 582 |
+
"epoch": 0.5202531060920974,
|
| 583 |
+
"eval_cos_loss": 0.3004189523183592,
|
| 584 |
+
"eval_loss": 0.8695836310789465,
|
| 585 |
+
"eval_mse_loss": 0.8695836310789465,
|
| 586 |
+
"eval_runtime": 51.0932,
|
| 587 |
+
"eval_samples_per_second": 547.881,
|
| 588 |
+
"eval_steps_per_second": 8.573,
|
| 589 |
+
"flow/cos_sim": 0.699581062548781,
|
| 590 |
+
"flow/improvement_ratio": 0.47203471392529195,
|
| 591 |
+
"flow/mag_ratio_mean": 0.6982838295093955,
|
| 592 |
+
"flow/mag_ratio_std": 0.20910314640634137,
|
| 593 |
+
"step": 11264
|
| 594 |
+
},
|
| 595 |
+
{
|
| 596 |
+
"epoch": 0.5320770403214632,
|
| 597 |
+
"grad_norm": 0.3345041275024414,
|
| 598 |
+
"learning_rate": 0.00046766146455737116,
|
| 599 |
+
"loss": 0.9016320109367371,
|
| 600 |
+
"step": 11520
|
| 601 |
+
},
|
| 602 |
+
{
|
| 603 |
+
"epoch": 0.5439009745508291,
|
| 604 |
+
"grad_norm": 0.47475534677505493,
|
| 605 |
+
"learning_rate": 0.00044870643259007823,
|
| 606 |
+
"loss": 0.9061211347579956,
|
| 607 |
+
"step": 11776
|
| 608 |
+
},
|
| 609 |
+
{
|
| 610 |
+
"epoch": 0.5557249087801949,
|
| 611 |
+
"grad_norm": 0.6051743030548096,
|
| 612 |
+
"learning_rate": 0.000429825637777245,
|
| 613 |
+
"loss": 0.903529167175293,
|
| 614 |
+
"step": 12032
|
| 615 |
+
},
|
| 616 |
+
{
|
| 617 |
+
"epoch": 0.5675488430095608,
|
| 618 |
+
"grad_norm": 0.39291107654571533,
|
| 619 |
+
"learning_rate": 0.0004111195298279063,
|
| 620 |
+
"loss": 0.8996114730834961,
|
| 621 |
+
"step": 12288
|
| 622 |
+
},
|
| 623 |
+
{
|
| 624 |
+
"epoch": 0.5675488430095608,
|
| 625 |
+
"eval_cos_loss": 0.29944087231540245,
|
| 626 |
+
"eval_loss": 0.8666894671307307,
|
| 627 |
+
"eval_mse_loss": 0.8666894671307307,
|
| 628 |
+
"flow/cos_sim": 0.700559140476462,
|
| 629 |
+
"flow/improvement_ratio": 0.4712014450058001,
|
| 630 |
+
"flow/mag_ratio_mean": 0.6962402411247497,
|
| 631 |
+
"flow/mag_ratio_std": 0.20598308850913288,
|
| 632 |
+
"step": 12288
|
| 633 |
+
},
|
| 634 |
+
{
|
| 635 |
+
"epoch": 0.5675488430095608,
|
| 636 |
+
"eval_cos_loss": 0.29944087231540245,
|
| 637 |
+
"eval_loss": 0.8666894671307307,
|
| 638 |
+
"eval_mse_loss": 0.8666894671307307,
|
| 639 |
+
"eval_runtime": 50.9516,
|
| 640 |
+
"eval_samples_per_second": 549.403,
|
| 641 |
+
"eval_steps_per_second": 8.596,
|
| 642 |
+
"flow/cos_sim": 0.700559140476462,
|
| 643 |
+
"flow/improvement_ratio": 0.4712014450058001,
|
| 644 |
+
"flow/mag_ratio_mean": 0.6962402411247497,
|
| 645 |
+
"flow/mag_ratio_std": 0.20598308850913288,
|
| 646 |
+
"step": 12288
|
| 647 |
+
},
|
| 648 |
+
{
|
| 649 |
+
"epoch": 0.5793727772389267,
|
| 650 |
+
"grad_norm": 0.38517266511917114,
|
| 651 |
+
"learning_rate": 0.0003924684852772684,
|
| 652 |
+
"loss": 0.9009869694709778,
|
| 653 |
+
"step": 12544
|
| 654 |
+
},
|
| 655 |
+
{
|
| 656 |
+
"epoch": 0.5911967114682924,
|
| 657 |
+
"grad_norm": 0.3089086413383484,
|
| 658 |
+
"learning_rate": 0.00037404498123644504,
|
| 659 |
+
"loss": 0.9021767377853394,
|
| 660 |
+
"step": 12800
|
| 661 |
+
},
|
| 662 |
+
{
|
| 663 |
+
"epoch": 0.6030206456976583,
|
| 664 |
+
"grad_norm": 0.5309678912162781,
|
| 665 |
+
"learning_rate": 0.0003557312014609784,
|
| 666 |
+
"loss": 0.9018325209617615,
|
| 667 |
+
"step": 13056
|
| 668 |
+
},
|
| 669 |
+
{
|
| 670 |
+
"epoch": 0.6148445799270241,
|
| 671 |
+
"grad_norm": 0.36101001501083374,
|
| 672 |
+
"learning_rate": 0.00033762622184548686,
|
| 673 |
+
"loss": 0.8969551920890808,
|
| 674 |
+
"step": 13312
|
| 675 |
+
},
|
| 676 |
+
{
|
| 677 |
+
"epoch": 0.6148445799270241,
|
| 678 |
+
"eval_cos_loss": 0.30058121572346447,
|
| 679 |
+
"eval_loss": 0.8693417448159222,
|
| 680 |
+
"eval_mse_loss": 0.8693417448159222,
|
| 681 |
+
"flow/cos_sim": 0.6994188143510253,
|
| 682 |
+
"flow/improvement_ratio": 0.4627683243658989,
|
| 683 |
+
"flow/mag_ratio_mean": 0.7132113126859273,
|
| 684 |
+
"flow/mag_ratio_std": 0.21025482180728217,
|
| 685 |
+
"step": 13312
|
| 686 |
+
},
|
| 687 |
+
{
|
| 688 |
+
"epoch": 0.6148445799270241,
|
| 689 |
+
"eval_cos_loss": 0.30058121572346447,
|
| 690 |
+
"eval_loss": 0.8693417448159222,
|
| 691 |
+
"eval_mse_loss": 0.8693417448159222,
|
| 692 |
+
"eval_runtime": 50.5293,
|
| 693 |
+
"eval_samples_per_second": 553.996,
|
| 694 |
+
"eval_steps_per_second": 8.668,
|
| 695 |
+
"flow/cos_sim": 0.6994188143510253,
|
| 696 |
+
"flow/improvement_ratio": 0.4627683243658989,
|
| 697 |
+
"flow/mag_ratio_mean": 0.7132113126859273,
|
| 698 |
+
"flow/mag_ratio_std": 0.21025482180728217,
|
| 699 |
+
"step": 13312
|
| 700 |
+
},
|
| 701 |
+
{
|
| 702 |
+
"epoch": 0.62666851415639,
|
| 703 |
+
"grad_norm": 0.4100685119628906,
|
| 704 |
+
"learning_rate": 0.00031975624571791317,
|
| 705 |
+
"loss": 0.8950372934341431,
|
| 706 |
+
"step": 13568
|
| 707 |
+
},
|
| 708 |
+
{
|
| 709 |
+
"epoch": 0.6384924483857558,
|
| 710 |
+
"grad_norm": 0.2832315266132355,
|
| 711 |
+
"learning_rate": 0.00030214713628576984,
|
| 712 |
+
"loss": 0.8969645500183105,
|
| 713 |
+
"step": 13824
|
| 714 |
+
},
|
| 715 |
+
{
|
| 716 |
+
"epoch": 0.6503163826151217,
|
| 717 |
+
"grad_norm": 0.39231061935424805,
|
| 718 |
+
"learning_rate": 0.00028482437920433144,
|
| 719 |
+
"loss": 0.8969537019729614,
|
| 720 |
+
"step": 14080
|
| 721 |
+
},
|
| 722 |
+
{
|
| 723 |
+
"epoch": 0.6621403168444876,
|
| 724 |
+
"grad_norm": 0.7917575240135193,
|
| 725 |
+
"learning_rate": 0.00026781304569125866,
|
| 726 |
+
"loss": 0.8955793976783752,
|
| 727 |
+
"step": 14336
|
| 728 |
+
},
|
| 729 |
+
{
|
| 730 |
+
"epoch": 0.6621403168444876,
|
| 731 |
+
"eval_cos_loss": 0.29705161533263175,
|
| 732 |
+
"eval_loss": 0.8606252675731433,
|
| 733 |
+
"eval_mse_loss": 0.8606252675731433,
|
| 734 |
+
"flow/cos_sim": 0.7029484053180642,
|
| 735 |
+
"flow/improvement_ratio": 0.46662241846459096,
|
| 736 |
+
"flow/mag_ratio_mean": 0.7076406654429762,
|
| 737 |
+
"flow/mag_ratio_std": 0.20891345561095023,
|
| 738 |
+
"step": 14336
|
| 739 |
+
},
|
| 740 |
+
{
|
| 741 |
+
"epoch": 0.6621403168444876,
|
| 742 |
+
"eval_cos_loss": 0.29705161533263175,
|
| 743 |
+
"eval_loss": 0.8606252675731433,
|
| 744 |
+
"eval_mse_loss": 0.8606252675731433,
|
| 745 |
+
"eval_runtime": 50.7312,
|
| 746 |
+
"eval_samples_per_second": 551.791,
|
| 747 |
+
"eval_steps_per_second": 8.634,
|
| 748 |
+
"flow/cos_sim": 0.7029484053180642,
|
| 749 |
+
"flow/improvement_ratio": 0.46662241846459096,
|
| 750 |
+
"flow/mag_ratio_mean": 0.7076406654429762,
|
| 751 |
+
"flow/mag_ratio_std": 0.20891345561095023,
|
| 752 |
+
"step": 14336
|
| 753 |
+
},
|
| 754 |
+
{
|
| 755 |
+
"epoch": 0.6739642510738534,
|
| 756 |
+
"grad_norm": 0.2073170691728592,
|
| 757 |
+
"learning_rate": 0.0002511377562410373,
|
| 758 |
+
"loss": 0.8957792520523071,
|
| 759 |
+
"step": 14592
|
| 760 |
+
},
|
| 761 |
+
{
|
| 762 |
+
"epoch": 0.6857881853032193,
|
| 763 |
+
"grad_norm": 0.6534483432769775,
|
| 764 |
+
"learning_rate": 0.00023482264499174915,
|
| 765 |
+
"loss": 0.8970192074775696,
|
| 766 |
+
"step": 14848
|
| 767 |
+
},
|
| 768 |
+
{
|
| 769 |
+
"epoch": 0.6976121195325851,
|
| 770 |
+
"grad_norm": 0.24640800058841705,
|
| 771 |
+
"learning_rate": 0.00021889132479574586,
|
| 772 |
+
"loss": 0.8956112861633301,
|
| 773 |
+
"step": 15104
|
| 774 |
+
},
|
| 775 |
+
{
|
| 776 |
+
"epoch": 0.709436053761951,
|
| 777 |
+
"grad_norm": 0.35241010785102844,
|
| 778 |
+
"learning_rate": 0.0002033668530447801,
|
| 779 |
+
"loss": 0.8931179642677307,
|
| 780 |
+
"step": 15360
|
| 781 |
+
},
|
| 782 |
+
{
|
| 783 |
+
"epoch": 0.709436053761951,
|
| 784 |
+
"eval_cos_loss": 0.3005856423889665,
|
| 785 |
+
"eval_loss": 0.8699537216256198,
|
| 786 |
+
"eval_mse_loss": 0.8699537216256198,
|
| 787 |
+
"flow/cos_sim": 0.6994143777514157,
|
| 788 |
+
"flow/improvement_ratio": 0.47257714858066,
|
| 789 |
+
"flow/mag_ratio_mean": 0.7026257012804894,
|
| 790 |
+
"flow/mag_ratio_std": 0.20547213071965736,
|
| 791 |
+
"step": 15360
|
| 792 |
+
},
|
| 793 |
+
{
|
| 794 |
+
"epoch": 0.709436053761951,
|
| 795 |
+
"eval_cos_loss": 0.3005856423889665,
|
| 796 |
+
"eval_loss": 0.8699537216256198,
|
| 797 |
+
"eval_mse_loss": 0.8699537216256198,
|
| 798 |
+
"eval_runtime": 50.6626,
|
| 799 |
+
"eval_samples_per_second": 552.538,
|
| 800 |
+
"eval_steps_per_second": 8.645,
|
| 801 |
+
"flow/cos_sim": 0.6994143777514157,
|
| 802 |
+
"flow/improvement_ratio": 0.47257714858066,
|
| 803 |
+
"flow/mag_ratio_mean": 0.7026257012804894,
|
| 804 |
+
"flow/mag_ratio_std": 0.20547213071965736,
|
| 805 |
+
"step": 15360
|
| 806 |
+
},
|
| 807 |
+
{
|
| 808 |
+
"epoch": 0.7212599879913169,
|
| 809 |
+
"grad_norm": 0.4916954040527344,
|
| 810 |
+
"learning_rate": 0.0001882716982990524,
|
| 811 |
+
"loss": 0.8969737887382507,
|
| 812 |
+
"step": 15616
|
| 813 |
+
},
|
| 814 |
+
{
|
| 815 |
+
"epoch": 0.7330839222206826,
|
| 816 |
+
"grad_norm": 0.5466639399528503,
|
| 817 |
+
"learning_rate": 0.00017362770776847765,
|
| 818 |
+
"loss": 0.8959704637527466,
|
| 819 |
+
"step": 15872
|
| 820 |
+
},
|
| 821 |
+
{
|
| 822 |
+
"epoch": 0.7449078564500485,
|
| 823 |
+
"grad_norm": 0.45104148983955383,
|
| 824 |
+
"learning_rate": 0.00015951048788154866,
|
| 825 |
+
"loss": 0.8920841813087463,
|
| 826 |
+
"step": 16128
|
| 827 |
+
},
|
| 828 |
+
{
|
| 829 |
+
"epoch": 0.7567317906794143,
|
| 830 |
+
"grad_norm": 0.23488114774227142,
|
| 831 |
+
"learning_rate": 0.0001458297605985633,
|
| 832 |
+
"loss": 0.8922313451766968,
|
| 833 |
+
"step": 16384
|
| 834 |
+
},
|
| 835 |
+
{
|
| 836 |
+
"epoch": 0.7567317906794143,
|
| 837 |
+
"eval_cos_loss": 0.2997721447928311,
|
| 838 |
+
"eval_loss": 0.8672782906658574,
|
| 839 |
+
"eval_mse_loss": 0.8672782906658574,
|
| 840 |
+
"flow/cos_sim": 0.7002278570442984,
|
| 841 |
+
"flow/improvement_ratio": 0.4662386941719273,
|
| 842 |
+
"flow/mag_ratio_mean": 0.7100178600718442,
|
| 843 |
+
"flow/mag_ratio_std": 0.20784400301436856,
|
| 844 |
+
"step": 16384
|
| 845 |
+
},
|
| 846 |
+
{
|
| 847 |
+
"epoch": 0.7567317906794143,
|
| 848 |
+
"eval_cos_loss": 0.2997721447928311,
|
| 849 |
+
"eval_loss": 0.8672782906658574,
|
| 850 |
+
"eval_mse_loss": 0.8672782906658574,
|
| 851 |
+
"eval_runtime": 50.9632,
|
| 852 |
+
"eval_samples_per_second": 549.278,
|
| 853 |
+
"eval_steps_per_second": 8.594,
|
| 854 |
+
"flow/cos_sim": 0.7002278570442984,
|
| 855 |
+
"flow/improvement_ratio": 0.4662386941719273,
|
| 856 |
+
"flow/mag_ratio_mean": 0.7100178600718442,
|
| 857 |
+
"flow/mag_ratio_std": 0.20784400301436856,
|
| 858 |
+
"step": 16384
|
| 859 |
+
},
|
| 860 |
+
{
|
| 861 |
+
"epoch": 0.7685557249087802,
|
| 862 |
+
"grad_norm": 0.25124895572662354,
|
| 863 |
+
"learning_rate": 0.00013266162372593872,
|
| 864 |
+
"loss": 0.8903353810310364,
|
| 865 |
+
"step": 16640
|
| 866 |
+
},
|
| 867 |
+
{
|
| 868 |
+
"epoch": 0.780379659138146,
|
| 869 |
+
"grad_norm": 0.2108362913131714,
|
| 870 |
+
"learning_rate": 0.00012002513550158511,
|
| 871 |
+
"loss": 0.8916131854057312,
|
| 872 |
+
"step": 16896
|
| 873 |
+
},
|
| 874 |
+
{
|
| 875 |
+
"epoch": 0.7922035933675119,
|
| 876 |
+
"grad_norm": 0.22269435226917267,
|
| 877 |
+
"learning_rate": 0.00010793858470858986,
|
| 878 |
+
"loss": 0.8932616114616394,
|
| 879 |
+
"step": 17152
|
| 880 |
+
},
|
| 881 |
+
{
|
| 882 |
+
"epoch": 0.8040275275968778,
|
| 883 |
+
"grad_norm": 0.2587853968143463,
|
| 884 |
+
"learning_rate": 9.641946420587128e-05,
|
| 885 |
+
"loss": 0.8924716114997864,
|
| 886 |
+
"step": 17408
|
| 887 |
+
},
|
| 888 |
+
{
|
| 889 |
+
"epoch": 0.8040275275968778,
|
| 890 |
+
"eval_cos_loss": 0.29718101851335943,
|
| 891 |
+
"eval_loss": 0.8611624605579463,
|
| 892 |
+
"eval_mse_loss": 0.8611624605579463,
|
| 893 |
+
"flow/cos_sim": 0.7028190088054361,
|
| 894 |
+
"flow/improvement_ratio": 0.465975399158861,
|
| 895 |
+
"flow/mag_ratio_mean": 0.7077710173990084,
|
| 896 |
+
"flow/mag_ratio_std": 0.20818141616506664,
|
| 897 |
+
"step": 17408
|
| 898 |
+
},
|
| 899 |
+
{
|
| 900 |
+
"epoch": 0.8040275275968778,
|
| 901 |
+
"eval_cos_loss": 0.29718101851335943,
|
| 902 |
+
"eval_loss": 0.8611624605579463,
|
| 903 |
+
"eval_mse_loss": 0.8611624605579463,
|
| 904 |
+
"eval_runtime": 50.5279,
|
| 905 |
+
"eval_samples_per_second": 554.011,
|
| 906 |
+
"eval_steps_per_second": 8.668,
|
| 907 |
+
"flow/cos_sim": 0.7028190088054361,
|
| 908 |
+
"flow/improvement_ratio": 0.465975399158861,
|
| 909 |
+
"flow/mag_ratio_mean": 0.7077710173990084,
|
| 910 |
+
"flow/mag_ratio_std": 0.20818141616506664,
|
| 911 |
+
"step": 17408
|
| 912 |
+
},
|
| 913 |
+
{
|
| 914 |
+
"epoch": 0.8158514618262436,
|
| 915 |
+
"grad_norm": 0.22211408615112305,
|
| 916 |
+
"learning_rate": 8.548444561077174e-05,
|
| 917 |
+
"loss": 0.8929438591003418,
|
| 918 |
+
"step": 17664
|
| 919 |
+
},
|
| 920 |
+
{
|
| 921 |
+
"epoch": 0.8276753960556095,
|
| 922 |
+
"grad_norm": 0.16869360208511353,
|
| 923 |
+
"learning_rate": 7.514935517023558e-05,
|
| 924 |
+
"loss": 0.8896693587303162,
|
| 925 |
+
"step": 17920
|
| 926 |
+
},
|
| 927 |
+
{
|
| 928 |
+
"epoch": 0.8394993302849753,
|
| 929 |
+
"grad_norm": 0.2596553862094879,
|
| 930 |
+
"learning_rate": 6.542915085548828e-05,
|
| 931 |
+
"loss": 0.8902697563171387,
|
| 932 |
+
"step": 18176
|
| 933 |
+
},
|
| 934 |
+
{
|
| 935 |
+
"epoch": 0.8513232645143411,
|
| 936 |
+
"grad_norm": 0.23781056702136993,
|
| 937 |
+
"learning_rate": 5.6337900713373745e-05,
|
| 938 |
+
"loss": 0.8896790742874146,
|
| 939 |
+
"step": 18432
|
| 940 |
+
},
|
| 941 |
+
{
|
| 942 |
+
"epoch": 0.8513232645143411,
|
| 943 |
+
"eval_cos_loss": 0.29792979842723777,
|
| 944 |
+
"eval_loss": 0.8626222945239446,
|
| 945 |
+
"eval_mse_loss": 0.8626222945239446,
|
| 946 |
+
"flow/cos_sim": 0.7020702216451027,
|
| 947 |
+
"flow/improvement_ratio": 0.4633185115034722,
|
| 948 |
+
"flow/mag_ratio_mean": 0.7091497124330094,
|
| 949 |
+
"flow/mag_ratio_std": 0.20735928929967967,
|
| 950 |
+
"step": 18432
|
| 951 |
+
},
|
| 952 |
+
{
|
| 953 |
+
"epoch": 0.8513232645143411,
|
| 954 |
+
"eval_cos_loss": 0.29792979842723777,
|
| 955 |
+
"eval_loss": 0.8626222945239446,
|
| 956 |
+
"eval_mse_loss": 0.8626222945239446,
|
| 957 |
+
"eval_runtime": 50.6008,
|
| 958 |
+
"eval_samples_per_second": 553.212,
|
| 959 |
+
"eval_steps_per_second": 8.656,
|
| 960 |
+
"flow/cos_sim": 0.7020702216451027,
|
| 961 |
+
"flow/improvement_ratio": 0.4633185115034722,
|
| 962 |
+
"flow/mag_ratio_mean": 0.7091497124330094,
|
| 963 |
+
"flow/mag_ratio_std": 0.20735928929967967,
|
| 964 |
+
"step": 18432
|
| 965 |
+
},
|
| 966 |
+
{
|
| 967 |
+
"epoch": 0.8631471987437069,
|
| 968 |
+
"grad_norm": 0.24920311570167542,
|
| 969 |
+
"learning_rate": 4.78887625056757e-05,
|
| 970 |
+
"loss": 0.8902055621147156,
|
| 971 |
+
"step": 18688
|
| 972 |
+
},
|
| 973 |
+
{
|
| 974 |
+
"epoch": 0.8749711329730728,
|
| 975 |
+
"grad_norm": 0.29849973320961,
|
| 976 |
+
"learning_rate": 4.009396466589682e-05,
|
| 977 |
+
"loss": 0.8859462141990662,
|
| 978 |
+
"step": 18944
|
| 979 |
+
},
|
| 980 |
+
{
|
| 981 |
+
"epoch": 0.8867950672024387,
|
| 982 |
+
"grad_norm": 0.2714053690433502,
|
| 983 |
+
"learning_rate": 3.296478860105229e-05,
|
| 984 |
+
"loss": 0.890446662902832,
|
| 985 |
+
"step": 19200
|
| 986 |
+
},
|
| 987 |
+
{
|
| 988 |
+
"epoch": 0.8986190014318045,
|
| 989 |
+
"grad_norm": 0.3177722096443176,
|
| 990 |
+
"learning_rate": 2.6511552364095358e-05,
|
| 991 |
+
"loss": 0.8924580216407776,
|
| 992 |
+
"step": 19456
|
| 993 |
+
},
|
| 994 |
+
{
|
| 995 |
+
"epoch": 0.8986190014318045,
|
| 996 |
+
"eval_cos_loss": 0.2985236220504051,
|
| 997 |
+
"eval_loss": 0.8639824096470663,
|
| 998 |
+
"eval_mse_loss": 0.8639824096470663,
|
| 999 |
+
"flow/cos_sim": 0.7014764100993605,
|
| 1000 |
+
"flow/improvement_ratio": 0.46989300261893774,
|
| 1001 |
+
"flow/mag_ratio_mean": 0.7079281760677355,
|
| 1002 |
+
"flow/mag_ratio_std": 0.20886976322899126,
|
| 1003 |
+
"step": 19456
|
| 1004 |
+
},
|
| 1005 |
+
{
|
| 1006 |
+
"epoch": 0.8986190014318045,
|
| 1007 |
+
"eval_cos_loss": 0.2985236220504051,
|
| 1008 |
+
"eval_loss": 0.8639824096470663,
|
| 1009 |
+
"eval_mse_loss": 0.8639824096470663,
|
| 1010 |
+
"eval_runtime": 51.0434,
|
| 1011 |
+
"eval_samples_per_second": 548.416,
|
| 1012 |
+
"eval_steps_per_second": 8.581,
|
| 1013 |
+
"flow/cos_sim": 0.7014764100993605,
|
| 1014 |
+
"flow/improvement_ratio": 0.46989300261893774,
|
| 1015 |
+
"flow/mag_ratio_mean": 0.7079281760677355,
|
| 1016 |
+
"flow/mag_ratio_std": 0.20886976322899126,
|
| 1017 |
+
"step": 19456
|
| 1018 |
+
},
|
| 1019 |
+
{
|
| 1020 |
+
"epoch": 0.9104429356611704,
|
| 1021 |
+
"grad_norm": 0.2206149697303772,
|
| 1022 |
+
"learning_rate": 2.074359572060447e-05,
|
| 1023 |
+
"loss": 0.888733446598053,
|
| 1024 |
+
"step": 19712
|
| 1025 |
+
},
|
| 1026 |
+
{
|
| 1027 |
+
"epoch": 0.9222668698905362,
|
| 1028 |
+
"grad_norm": 0.1809428334236145,
|
| 1029 |
+
"learning_rate": 1.5669266631345104e-05,
|
| 1030 |
+
"loss": 0.8881487250328064,
|
| 1031 |
+
"step": 19968
|
| 1032 |
+
},
|
| 1033 |
+
{
|
| 1034 |
+
"epoch": 0.9340908041199021,
|
| 1035 |
+
"grad_norm": 0.16622242331504822,
|
| 1036 |
+
"learning_rate": 1.1311620335770879e-05,
|
| 1037 |
+
"loss": 0.8930599689483643,
|
| 1038 |
+
"step": 20224
|
| 1039 |
+
},
|
| 1040 |
+
{
|
| 1041 |
+
"epoch": 0.945914738349268,
|
| 1042 |
+
"grad_norm": 0.25432291626930237,
|
| 1043 |
+
"learning_rate": 7.642790173984836e-06,
|
| 1044 |
+
"loss": 0.8947161436080933,
|
| 1045 |
+
"step": 20480
|
| 1046 |
+
},
|
| 1047 |
+
{
|
| 1048 |
+
"epoch": 0.945914738349268,
|
| 1049 |
+
"eval_cos_loss": 0.2954880066862389,
|
| 1050 |
+
"eval_loss": 0.8570421781714104,
|
| 1051 |
+
"eval_mse_loss": 0.8570421781714104,
|
| 1052 |
+
"flow/cos_sim": 0.7045120175026324,
|
| 1053 |
+
"flow/improvement_ratio": 0.4633371506107452,
|
| 1054 |
+
"flow/mag_ratio_mean": 0.7112098344384807,
|
| 1055 |
+
"flow/mag_ratio_std": 0.20906852869546577,
|
| 1056 |
+
"step": 20480
|
| 1057 |
+
},
|
| 1058 |
+
{
|
| 1059 |
+
"epoch": 0.945914738349268,
|
| 1060 |
+
"eval_cos_loss": 0.2954880066862389,
|
| 1061 |
+
"eval_loss": 0.8570421781714104,
|
| 1062 |
+
"eval_mse_loss": 0.8570421781714104,
|
| 1063 |
+
"eval_runtime": 50.6225,
|
| 1064 |
+
"eval_samples_per_second": 552.976,
|
| 1065 |
+
"eval_steps_per_second": 8.652,
|
| 1066 |
+
"flow/cos_sim": 0.7045120175026324,
|
| 1067 |
+
"flow/improvement_ratio": 0.4633371506107452,
|
| 1068 |
+
"flow/mag_ratio_mean": 0.7112098344384807,
|
| 1069 |
+
"flow/mag_ratio_std": 0.20906852869546577,
|
| 1070 |
+
"step": 20480
|
| 1071 |
+
},
|
| 1072 |
+
{
|
| 1073 |
+
"epoch": 0.9577386725786338,
|
| 1074 |
+
"grad_norm": 0.21038714051246643,
|
| 1075 |
+
"learning_rate": 4.686548355746001e-06,
|
| 1076 |
+
"loss": 0.8879244923591614,
|
| 1077 |
+
"step": 20736
|
| 1078 |
+
},
|
| 1079 |
+
{
|
| 1080 |
+
"epoch": 0.9695626068079997,
|
| 1081 |
+
"grad_norm": 0.24928613007068634,
|
| 1082 |
+
"learning_rate": 2.447173448359541e-06,
|
| 1083 |
+
"loss": 0.889561653137207,
|
| 1084 |
+
"step": 20992
|
| 1085 |
+
},
|
| 1086 |
+
{
|
| 1087 |
+
"epoch": 0.9813865410373654,
|
| 1088 |
+
"grad_norm": 0.21087926626205444,
|
| 1089 |
+
"learning_rate": 9.279064980089457e-07,
|
| 1090 |
+
"loss": 0.8902660608291626,
|
| 1091 |
+
"step": 21248
|
| 1092 |
+
},
|
| 1093 |
+
{
|
| 1094 |
+
"epoch": 0.9932104752667313,
|
| 1095 |
+
"grad_norm": 0.18456599116325378,
|
| 1096 |
+
"learning_rate": 1.3094633899163322e-07,
|
| 1097 |
+
"loss": 0.8902599811553955,
|
| 1098 |
+
"step": 21504
|
| 1099 |
+
},
|
| 1100 |
+
{
|
| 1101 |
+
"epoch": 0.9932104752667313,
|
| 1102 |
+
"eval_cos_loss": 0.29621158380350565,
|
| 1103 |
+
"eval_loss": 0.858656403544831,
|
| 1104 |
+
"eval_mse_loss": 0.858656403544831,
|
| 1105 |
+
"flow/cos_sim": 0.7037884391606126,
|
| 1106 |
+
"flow/improvement_ratio": 0.47204427734085413,
|
| 1107 |
+
"flow/mag_ratio_mean": 0.7089065290205011,
|
| 1108 |
+
"flow/mag_ratio_std": 0.20877777332584607,
|
| 1109 |
+
"step": 21504
|
| 1110 |
+
},
|
| 1111 |
+
{
|
| 1112 |
+
"epoch": 0.9932104752667313,
|
| 1113 |
+
"eval_cos_loss": 0.29621158380350565,
|
| 1114 |
+
"eval_loss": 0.858656403544831,
|
| 1115 |
+
"eval_mse_loss": 0.858656403544831,
|
| 1116 |
+
"eval_runtime": 50.8696,
|
| 1117 |
+
"eval_samples_per_second": 550.289,
|
| 1118 |
+
"eval_steps_per_second": 8.61,
|
| 1119 |
+
"flow/cos_sim": 0.7037884391606126,
|
| 1120 |
+
"flow/improvement_ratio": 0.47204427734085413,
|
| 1121 |
+
"flow/mag_ratio_mean": 0.7089065290205011,
|
| 1122 |
+
"flow/mag_ratio_std": 0.20877777332584607,
|
| 1123 |
+
"step": 21504
|
| 1124 |
+
}
|
| 1125 |
+
],
|
| 1126 |
+
"logging_steps": 256,
|
| 1127 |
+
"max_steps": 21651,
|
| 1128 |
+
"num_input_tokens_seen": 0,
|
| 1129 |
+
"num_train_epochs": 1,
|
| 1130 |
+
"save_steps": 1024,
|
| 1131 |
+
"stateful_callbacks": {
|
| 1132 |
+
"TrainerControl": {
|
| 1133 |
+
"args": {
|
| 1134 |
+
"should_epoch_stop": false,
|
| 1135 |
+
"should_evaluate": false,
|
| 1136 |
+
"should_log": false,
|
| 1137 |
+
"should_save": true,
|
| 1138 |
+
"should_training_stop": false
|
| 1139 |
+
},
|
| 1140 |
+
"attributes": {}
|
| 1141 |
+
}
|
| 1142 |
+
},
|
| 1143 |
+
"total_flos": 0.0,
|
| 1144 |
+
"train_batch_size": 64,
|
| 1145 |
+
"trial_name": null,
|
| 1146 |
+
"trial_params": null
|
| 1147 |
+
}
|
checkpoints-v2/checkpoint-21504/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:03a8c5803c6e5663005c9dc7a4c98c213c8267649ccec42581475db390cc8017
|
| 3 |
+
size 5137
|