Model save

README.md

@@ -33,19 +33,23 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 1e-05
-- train_batch_size: 2
-- eval_batch_size: 2
+- train_batch_size: 1
+- eval_batch_size: 1
 - seed: 42
 - gradient_accumulation_steps: 4
-- total_train_batch_size: 8
+- total_train_batch_size: 4
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 1
 - num_epochs: 10
 
+### Training results
+
+
+
 ### Framework versions
 
 - Transformers 4.36.2
-- Pytorch 2.0.0
+- Pytorch 2.1.0+cu121
 - Datasets 2.16.1
 - Tokenizers 0.15.0

final/training_args.bin

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runs/Jan02_11-31-41_b1e9bb81fd8d/events.out.tfevents.1704195101.b1e9bb81fd8d.5031.0

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