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ft-distilGPT2-with-askscience

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  1. README.md +4 -7
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 3.7406
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  ## Model description
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@@ -40,17 +40,14 @@ The following hyperparameters were used during training:
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  - seed: 42
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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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- - num_epochs: 5
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | No log | 1.0 | 286 | 3.7728 |
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- | 3.8809 | 2.0 | 572 | 3.7533 |
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- | 3.8809 | 3.0 | 858 | 3.7461 |
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- | 3.7767 | 4.0 | 1144 | 3.7418 |
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- | 3.7767 | 5.0 | 1430 | 3.7406 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 3.7627
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  ## Model description
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  - seed: 42
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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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+ - num_epochs: 2
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | No log | 1.0 | 283 | 3.7749 |
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+ | 3.8909 | 2.0 | 566 | 3.7627 |
 
 
 
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  ### Framework versions
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