End of training
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- adapter_model.bin +1 -1
- model.safetensors +1 -1
- training_args.bin +1 -1
README.md
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This model is a fine-tuned version of [microsoft/Phi-3-mini-4k-instruct](https://huggingface.co/microsoft/Phi-3-mini-4k-instruct) on an unknown 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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### Framework versions
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This model is a fine-tuned version of [microsoft/Phi-3-mini-4k-instruct](https://huggingface.co/microsoft/Phi-3-mini-4k-instruct) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0153
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 4.327 | 0.09 | 10 | 0.8261 |
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| 0.4359 | 0.18 | 20 | 0.2664 |
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| 0.2914 | 0.27 | 30 | 0.2506 |
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| 0.2542 | 0.36 | 40 | 0.2504 |
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| 0.2976 | 0.45 | 50 | 0.3288 |
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| 0.3986 | 0.54 | 60 | 0.2542 |
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| 2.3932 | 0.63 | 70 | 0.2711 |
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| 1.9638 | 0.73 | 80 | 4.8527 |
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| 3.6131 | 0.82 | 90 | 1.5739 |
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| 1.1269 | 0.91 | 100 | 0.7721 |
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| 0.4633 | 1.0 | 110 | 0.3521 |
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| 0.2947 | 1.09 | 120 | 0.2266 |
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| 0.2156 | 1.18 | 130 | 0.1790 |
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| 0.2026 | 1.27 | 140 | 0.1381 |
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| 0.1618 | 1.36 | 150 | 0.2401 |
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| 0.1723 | 1.45 | 160 | 0.1317 |
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| 0.1256 | 1.54 | 170 | 0.0996 |
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| 0.1171 | 1.63 | 180 | 0.0833 |
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| 0.0767 | 1.72 | 190 | 0.0579 |
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| 0.0578 | 1.81 | 200 | 0.0514 |
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| 0.0497 | 1.9 | 210 | 0.0414 |
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| 0.0456 | 1.99 | 220 | 0.0376 |
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| 0.042 | 2.08 | 230 | 0.0374 |
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| 0.0435 | 2.18 | 240 | 0.0295 |
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| 0.0429 | 2.27 | 250 | 0.0304 |
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| 0.0396 | 2.36 | 260 | 0.0243 |
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| 0.0305 | 2.45 | 270 | 0.0214 |
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| 0.0277 | 2.54 | 280 | 0.0191 |
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| 0.0205 | 2.63 | 290 | 0.0186 |
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| 0.0228 | 2.72 | 300 | 0.0165 |
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| 0.0202 | 2.81 | 310 | 0.0157 |
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| 0.0236 | 2.9 | 320 | 0.0155 |
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| 0.0196 | 2.99 | 330 | 0.0153 |
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### Framework versions
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adapter_model.bin
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model.safetensors
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training_args.bin
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