End of training
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- README.md +9 -8
- config.json +1 -1
- generation_config.json +3 -3
- model.safetensors +3 -0
- runs/Jan25_22-46-54_39d8ef62d37f/events.out.tfevents.1706222815.39d8ef62d37f.274.0 +3 -0
- runs/Jan25_22-46-54_39d8ef62d37f/events.out.tfevents.1706223749.39d8ef62d37f.274.1 +3 -0
- training_args.bin +2 -2
.gitattributes
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README.md
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---
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license: apache-2.0
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tags:
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- generated_from_trainer
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model-index:
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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.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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### Framework versions
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- Transformers 4.
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- Pytorch 1.
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- Datasets 2.
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- Tokenizers 0.
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---
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license: apache-2.0
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base_model: distilgpt2
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tags:
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- generated_from_trainer
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model-index:
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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: 3.8283
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 3.9484 | 1.0 | 1321 | 3.8403 |
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| 3.8458 | 2.0 | 2642 | 3.8302 |
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| 3.8048 | 3.0 | 3963 | 3.8283 |
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### Framework versions
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- Transformers 4.35.2
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- Pytorch 2.1.0+cu121
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- Datasets 2.16.1
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- Tokenizers 0.15.1
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config.json
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}
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},
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"torch_dtype": "float32",
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"transformers_version": "4.
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"use_cache": true,
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"vocab_size": 50257
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}
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}
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},
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"torch_dtype": "float32",
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"use_cache": true,
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"vocab_size": 50257
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}
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generation_config.json
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}
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model.safetensors
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training_args.bin
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