End of training

README.md

@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6103
+- Loss: 0.4502
 
 ## Model description
 
@@ -42,13 +42,15 @@ The following hyperparameters were used during training:
 - 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
 - lr_scheduler_warmup_steps: 500
-- num_epochs: 1
+- num_epochs: 3
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss |
-|:-------------:|:-----:|:----:|:---------------:|
-| 0.6319        | 1.0   | 2000 | 0.6103          |
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 0.5039        | 1.0   | 15716 | 0.4827          |
+| 0.4513        | 2.0   | 31432 | 0.4577          |
+| 0.4199        | 3.0   | 47148 | 0.4502          |
 
 
 ### Framework versions

model.safetensors

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training_args.bin

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