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Training complete

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  1. README.md +7 -11
  2. pytorch_model.bin +1 -1
  3. tokenizer.json +2 -16
  4. training_args.bin +1 -1
README.md CHANGED
@@ -15,7 +15,12 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 3.0629
 
 
 
 
 
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  ## Model description
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@@ -41,16 +46,7 @@ The following hyperparameters were used during training:
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_steps: 500
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- - num_epochs: 2
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-
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- ### Training results
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-
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- | Training Loss | Epoch | Step | Validation Loss |
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- |:-------------:|:-----:|:----:|:---------------:|
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- | 3.8634 | 0.59 | 500 | 3.3760 |
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- | 3.164 | 1.19 | 1000 | 3.1499 |
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- | 3.0361 | 1.78 | 1500 | 3.0629 |
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-
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  ### Framework versions
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  This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - eval_loss: nan
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+ - eval_runtime: 21.0902
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+ - eval_samples_per_second: 35.467
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+ - eval_steps_per_second: 4.457
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+ - epoch: 1.19
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+ - step: 1000
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  ## Model description
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_steps: 500
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+ - num_epochs: 3
 
 
 
 
 
 
 
 
 
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  ### Framework versions
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