End of training
Browse files- README.md +10 -10
- adapter_config.json +1 -1
- adapter_model.bin +2 -2
- 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 an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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### Framework versions
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This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.6981
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 2.118 | 0.11 | 1000 | 1.7807 |
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| 1.8878 | 0.22 | 2000 | 1.7477 |
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| 1.8609 | 0.33 | 3000 | 1.7318 |
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| 1.8489 | 0.44 | 4000 | 1.7207 |
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| 1.8416 | 0.55 | 5000 | 1.7134 |
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| 1.8181 | 0.66 | 6000 | 1.7082 |
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| 1.8144 | 0.77 | 7000 | 1.7021 |
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| 1.816 | 0.88 | 8000 | 1.6987 |
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| 1.7825 | 0.99 | 9000 | 1.6981 |
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### Framework versions
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adapter_config.json
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"lora_dropout": 0.05,
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"modules_to_save": null,
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"peft_type": "LORA",
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"r":
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"revision": null,
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"target_modules": [
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"c_attn",
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"lora_dropout": 0.05,
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 2,
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"revision": null,
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"target_modules": [
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"c_attn",
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adapter_model.bin
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oid sha256:
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size 836233
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training_args.bin
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