Update README.md

README.md

@@ -1,57 +1,80 @@
----
-library_name: transformers
-base_model: yikuan8/Clinical-Longformer
-tags:
-- generated_from_trainer
-datasets:
-- squad_v2
-model-index:
-- name: clinical_longformer_squadv2_maxlen320
-  results: []
----
-
-<!-- This model card has been generated automatically according to the information the Trainer had access to. You
-should probably proofread and complete it, then remove this comment. -->
-
-# clinical_longformer_squadv2_maxlen320
-
-This model is a fine-tuned version of [yikuan8/Clinical-Longformer](https://huggingface.co/yikuan8/Clinical-Longformer) on the squad_v2 dataset.
-
-## Model description
-
-More information needed
-
-## Intended uses & limitations
-
-More information needed
-
-## Training and evaluation data
-
-More information needed
-
-## Training procedure
-
-### Training hyperparameters
-
-The following hyperparameters were used during training:
-- learning_rate: 2e-05
-- train_batch_size: 4
-- eval_batch_size: 4
-- seed: 42
-- gradient_accumulation_steps: 4
-- total_train_batch_size: 16
-- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
-- lr_scheduler_type: linear
-- num_epochs: 3.0
-- mixed_precision_training: Native AMP
-
-### Training results
-
-
-
-### Framework versions
-
-- Transformers 4.48.0.dev0
-- Pytorch 2.0.1+cu117
-- Datasets 3.0.1
-- Tokenizers 0.21.0
+---
+library_name: transformers
+base_model: yikuan8/Clinical-Longformer
+tags:
+- generated_from_trainer
+datasets:
+- squad_v2
+model-index:
+- name: clinical_longformer_squadv2_maxlen320
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# clinical_longformer_squadv2_maxlen320
+
+This model is a fine-tuned version of [yikuan8/Clinical-Longformer](https://huggingface.co/yikuan8/Clinical-Longformer) on the squad_v2 dataset.
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+Tuning script used:
+
+set BASE_MODEL=yikuan8/Clinical-Longformer
+set OUTPUT_DIR=U:\Documents...
+
+python run_qa.py ^
+  --model_name_or_path %BASE_MODEL% ^
+  --dataset_name squad_v2 ^
+  --do_train ^
+  --do_eval ^
+  --version_2_with_negative ^
+  --per_device_train_batch_size 4 ^
+  --per_device_eval_batch_size 4 ^
+  --gradient_accumulation_steps 4 ^
+  --learning_rate 2e-5 ^
+  --num_train_epochs 3 ^
+  --max_seq_length 320 ^
+  --doc_stride 128 ^
+  --weight_decay 0.01 ^
+  --fp16 ^
+  --output_dir %OUTPUT_DIR% ^
+  --overwrite_output_dir
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 2e-05
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 16
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 3.0
+- mixed_precision_training: Native AMP
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.48.0.dev0
+- Pytorch 2.0.1+cu117
+- Datasets 3.0.1
+- Tokenizers 0.21.0