Training complete
Browse files- README.md +7 -11
- pytorch_model.bin +1 -1
- tokenizer.json +2 -16
- training_args.bin +1 -1
README.md
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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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## 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:
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### Training results
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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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### 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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pytorch_model.bin
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tokenizer.json
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{
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"truncation":
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"max_length": 128,
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"strategy": "LongestFirst",
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"stride": 0
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"padding": {
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"strategy": {
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"Fixed": 128
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"direction": "Right",
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"pad_to_multiple_of": null,
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"pad_id": 50256,
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"pad_type_id": 0,
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"pad_token": "<|endoftext|>"
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training_args.bin
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