End of training
Browse files- README.md +43 -43
- config.json +1 -1
- generation_config.json +1 -1
- model.safetensors +1 -1
- runs/Mar20_18-03-49_84f0f3a57a0c/events.out.tfevents.1710957830.84f0f3a57a0c.853.0 +3 -0
- tokenizer.json +6 -6
- training_args.bin +1 -1
README.md
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@@ -13,7 +13,7 @@ should probably proofread and complete it, then remove this comment. -->
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This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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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 4.38.
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- Pytorch 2.1
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0086
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 2.7015 | 1.0 | 6 | 2.0207 |
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| 1.7126 | 2.0 | 12 | 1.2868 |
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| 1.1107 | 3.0 | 18 | 0.9127 |
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| 0.8465 | 4.0 | 24 | 0.7797 |
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| 0.749 | 5.0 | 30 | 0.7586 |
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| 0.71 | 6.0 | 36 | 0.6566 |
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| 0.6332 | 7.0 | 42 | 0.6026 |
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| 0.5757 | 8.0 | 48 | 0.5232 |
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| 0.5054 | 9.0 | 54 | 0.4744 |
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| 0.4469 | 10.0 | 60 | 0.3915 |
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| 0.3736 | 11.0 | 66 | 0.3214 |
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| 0.314 | 12.0 | 72 | 0.2855 |
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| 0.282 | 13.0 | 78 | 0.2260 |
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| 0.2234 | 14.0 | 84 | 0.2077 |
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| 0.2157 | 15.0 | 90 | 0.1623 |
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| 0.1647 | 16.0 | 96 | 0.1344 |
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| 0.1505 | 17.0 | 102 | 0.1246 |
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| 0.1342 | 18.0 | 108 | 0.1086 |
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| 0.1104 | 19.0 | 114 | 0.0998 |
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| 0.098 | 20.0 | 120 | 0.0788 |
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| 0.0829 | 21.0 | 126 | 0.0575 |
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| 0.0706 | 22.0 | 132 | 0.0496 |
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| 0.0639 | 23.0 | 138 | 0.0425 |
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| 0.0544 | 24.0 | 144 | 0.0352 |
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| 0.0478 | 25.0 | 150 | 0.0316 |
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| 0.0435 | 26.0 | 156 | 0.0255 |
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| 0.0368 | 27.0 | 162 | 0.0237 |
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| 0.0314 | 28.0 | 168 | 0.0215 |
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| 0.0313 | 29.0 | 174 | 0.0175 |
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| 0.0281 | 30.0 | 180 | 0.0157 |
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| 0.0319 | 31.0 | 186 | 0.0132 |
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| 0.0235 | 32.0 | 192 | 0.0117 |
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| 0.0207 | 33.0 | 198 | 0.0112 |
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| 0.0178 | 34.0 | 204 | 0.0104 |
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| 0.0184 | 35.0 | 210 | 0.0098 |
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| 0.0176 | 36.0 | 216 | 0.0092 |
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| 0.0161 | 37.0 | 222 | 0.0092 |
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| 0.0167 | 38.0 | 228 | 0.0090 |
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| 0.0154 | 39.0 | 234 | 0.0087 |
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| 0.0155 | 40.0 | 240 | 0.0086 |
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### Framework versions
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- Transformers 4.38.2
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- Pytorch 2.2.1+cu121
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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config.json
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"model_type": "encoder-decoder",
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"pad_token_id": 3,
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"torch_dtype": "float32",
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"transformers_version": "4.38.
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"unk_token_id": null
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}
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"model_type": "encoder-decoder",
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"pad_token_id": 3,
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"torch_dtype": "float32",
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"transformers_version": "4.38.2",
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"unk_token_id": null
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}
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generation_config.json
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"decoder_start_token_id": 2,
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"eos_token_id": 0,
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"pad_token_id": 3,
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"transformers_version": "4.38.
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}
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"decoder_start_token_id": 2,
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"eos_token_id": 0,
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"pad_token_id": 3,
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"transformers_version": "4.38.2"
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}
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model.safetensors
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runs/Mar20_18-03-49_84f0f3a57a0c/events.out.tfevents.1710957830.84f0f3a57a0c.853.0
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tokenizer.json
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training_args.bin
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