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peft-starcoder-finetuned

PEFT
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gpt_bigcode
Generated from Trainer
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End of training

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  1. README.md +27 -26
  2. adapter_model.safetensors +1 -1
  3. runs/Nov21_20-47-21_localhost/events.out.tfevents.1732202243.localhost +2 -2
README.md CHANGED
@@ -1,7 +1,7 @@
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  ---
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- library_name: transformers
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- license: bigcode-openrail-m
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  base_model: bigcode/starcoderbase-1b
 
 
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  tags:
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  - generated_from_trainer
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  model-index:
@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [bigcode/starcoderbase-1b](https://huggingface.co/bigcode/starcoderbase-1b) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.5923
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  ## Model description
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@@ -35,7 +35,7 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 5e-05
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  - train_batch_size: 2
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  - eval_batch_size: 2
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  - seed: 42
@@ -44,37 +44,38 @@ The following hyperparameters were used during training:
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  - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: cosine
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  - lr_scheduler_warmup_steps: 50
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- - training_steps: 2000
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:----:|:---------------:|
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- | 0.5622 | 0.1992 | 100 | 1.2485 |
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- | 0.4589 | 0.3984 | 200 | 1.2126 |
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- | 0.4216 | 0.5976 | 300 | 1.2730 |
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- | 0.3743 | 0.7968 | 400 | 1.2278 |
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- | 0.3535 | 0.9960 | 500 | 1.2615 |
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- | 0.3011 | 1.1952 | 600 | 1.2960 |
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- | 0.2653 | 1.3944 | 700 | 1.3112 |
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- | 0.2734 | 1.5936 | 800 | 1.3759 |
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- | 0.2855 | 1.7928 | 900 | 1.3015 |
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- | 0.2528 | 1.9920 | 1000 | 1.3470 |
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- | 0.2083 | 2.1912 | 1100 | 1.4719 |
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- | 0.2318 | 2.3904 | 1200 | 1.4494 |
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- | 0.1935 | 2.5896 | 1300 | 1.4621 |
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- | 0.1809 | 2.7888 | 1400 | 1.4829 |
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- | 0.227 | 2.9880 | 1500 | 1.4911 |
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- | 0.1813 | 3.1873 | 1600 | 1.5903 |
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- | 0.1893 | 3.3865 | 1700 | 1.5906 |
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- | 0.1674 | 3.5857 | 1800 | 1.5916 |
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- | 0.1723 | 3.7849 | 1900 | 1.5921 |
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- | 0.1843 | 3.9841 | 2000 | 1.5923 |
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  ### Framework versions
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  - Transformers 4.46.2
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  - Pytorch 2.4.1+cu121
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  - Datasets 3.0.1
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- - Tokenizers 0.20.3
 
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  ---
 
 
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  base_model: bigcode/starcoderbase-1b
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+ library_name: peft
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+ license: bigcode-openrail-m
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  tags:
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  - generated_from_trainer
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  model-index:
 
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  This model is a fine-tuned version of [bigcode/starcoderbase-1b](https://huggingface.co/bigcode/starcoderbase-1b) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.2297
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 5e-06
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  - train_batch_size: 2
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  - eval_batch_size: 2
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  - seed: 42
 
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  - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: cosine
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  - lr_scheduler_warmup_steps: 50
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+ - training_steps: 1000
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:----:|:---------------:|
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+ | 1.234 | 0.0996 | 50 | 1.2381 |
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+ | 1.0882 | 0.1992 | 100 | 1.2581 |
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+ | 0.9431 | 0.2988 | 150 | 1.2722 |
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+ | 0.8286 | 0.3984 | 200 | 1.2415 |
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+ | 0.7855 | 0.4980 | 250 | 1.2368 |
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+ | 0.7417 | 0.5976 | 300 | 1.2313 |
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+ | 0.7189 | 0.6972 | 350 | 1.2391 |
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+ | 0.6781 | 0.7968 | 400 | 1.2231 |
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+ | 0.6902 | 0.8964 | 450 | 1.2234 |
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+ | 0.653 | 0.9960 | 500 | 1.2330 |
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+ | 0.6556 | 1.0956 | 550 | 1.2255 |
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+ | 0.6343 | 1.1952 | 600 | 1.2197 |
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+ | 0.606 | 1.2948 | 650 | 1.2366 |
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+ | 0.6223 | 1.3944 | 700 | 1.2300 |
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+ | 0.6313 | 1.4940 | 750 | 1.2340 |
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+ | 0.6068 | 1.5936 | 800 | 1.2327 |
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+ | 0.6012 | 1.6932 | 850 | 1.2280 |
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+ | 0.6299 | 1.7928 | 900 | 1.2296 |
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+ | 0.5962 | 1.8924 | 950 | 1.2293 |
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+ | 0.6041 | 1.9920 | 1000 | 1.2297 |
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  ### Framework versions
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+ - PEFT 0.13.2
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  - Transformers 4.46.2
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  - Pytorch 2.4.1+cu121
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  - Datasets 3.0.1
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+ - Tokenizers 0.20.3
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