Training complete

README.md

@@ -15,7 +15,7 @@ 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: 3.7449
+- Loss: 3.0629
 
 ## Model description
 
@@ -41,17 +41,15 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 500
-- num_epochs: 3
+- num_epochs: 2
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 4.6635        | 0.59  | 500  | 4.0582          |
-| 3.9654        | 1.19  | 1000 | 3.8487          |
-| 3.7972        | 1.78  | 1500 | 3.8034          |
-| 3.7214        | 2.38  | 2000 | 3.7763          |
-| 3.6648        | 2.97  | 2500 | 3.7449          |
+| 3.8634        | 0.59  | 500  | 3.3760          |
+| 3.164         | 1.19  | 1000 | 3.1499          |
+| 3.0361        | 1.78  | 1500 | 3.0629          |
 
 
 ### Framework versions

pytorch_model.bin

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 size 497807706

training_args.bin

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 version https://git-lfs.github.com/spec/v1
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 size 4472