markat1/mistral-7binstruct-summary-100s
Browse files- README.md +37 -6
- adapter_config.json +1 -1
- adapter_model.safetensors +2 -2
- training_args.bin +1 -1
README.md
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This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on the generator dataset.
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It achieves the following results on the evaluation set:
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- eval_runtime: 34.7344
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- eval_samples_per_second: 2.706
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- eval_steps_per_second: 0.345
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- epoch: 0.06
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- step: 15
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## Model description
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- lr_scheduler_warmup_steps: 0.03
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- training_steps: 150
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### Framework versions
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- PEFT 0.9.0
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This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on the generator dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.6323
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## Model description
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- lr_scheduler_warmup_steps: 0.03
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- training_steps: 150
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 2.5172 | 0.02 | 5 | 2.3926 |
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| 2.2822 | 0.04 | 10 | 2.1537 |
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| 2.1109 | 0.06 | 15 | 2.0087 |
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| 1.8571 | 0.08 | 20 | 1.9020 |
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| 1.8964 | 0.11 | 25 | 1.8310 |
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| 1.7335 | 0.13 | 30 | 1.7901 |
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| 1.7744 | 0.15 | 35 | 1.7607 |
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| 1.8654 | 0.17 | 40 | 1.7396 |
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| 1.7379 | 0.19 | 45 | 1.7235 |
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| 1.7442 | 0.21 | 50 | 1.7113 |
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| 1.6483 | 0.23 | 55 | 1.7011 |
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| 1.7006 | 0.25 | 60 | 1.6919 |
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| 1.6783 | 0.28 | 65 | 1.6833 |
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| 1.6468 | 0.3 | 70 | 1.6754 |
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| 1.6116 | 0.32 | 75 | 1.6678 |
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| 1.5899 | 0.34 | 80 | 1.6605 |
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| 1.7426 | 0.36 | 85 | 1.6538 |
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| 1.7244 | 0.38 | 90 | 1.6491 |
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| 1.6652 | 0.4 | 95 | 1.6457 |
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| 1.7859 | 0.42 | 100 | 1.6422 |
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| 1.5836 | 0.44 | 105 | 1.6395 |
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| 1.6265 | 0.47 | 110 | 1.6374 |
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| 1.5187 | 0.49 | 115 | 1.6358 |
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| 1.5989 | 0.51 | 120 | 1.6345 |
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| 1.684 | 0.53 | 125 | 1.6336 |
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| 1.6257 | 0.55 | 130 | 1.6329 |
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| 1.7211 | 0.57 | 135 | 1.6325 |
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| 1.6235 | 0.59 | 140 | 1.6324 |
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| 1.5885 | 0.61 | 145 | 1.6323 |
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| 1.5885 | 0.64 | 150 | 1.6323 |
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### Framework versions
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- PEFT 0.9.0
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adapter_config.json
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path":
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": null,
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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adapter_model.safetensors
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size
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size 54545360
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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size 4920
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size 4920
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