End of training

README.md

@@ -15,6 +15,8 @@ should probably proofread and complete it, then remove this comment. -->
 # gpt2-finetuned-python-purpose
 
 This model is a fine-tuned version of [openai-community/gpt2](https://huggingface.co/openai-community/gpt2) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4763
 
 ## Model description
 
@@ -34,12 +36,23 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 0.0003
-- train_batch_size: 12
-- eval_batch_size: 12
+- train_batch_size: 4
+- eval_batch_size: 4
 - seed: 42
 - 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: 4
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 1.0083        | 1.0   | 8233  | 0.9360          |
+| 0.6853        | 2.0   | 16466 | 0.7537          |
+| 0.4557        | 3.0   | 24699 | 0.6140          |
+| 0.271         | 4.0   | 32932 | 0.5133          |
+| 0.1585        | 5.0   | 41165 | 0.4763          |
+
 
 ### Framework versions