sqlai/sqlm
Browse files- README.md +1 -15
- adapter_config.json +2 -2
- adapter_model.safetensors +1 -1
- training_args.bin +1 -1
README.md
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# sqlm
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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 None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3241
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## Model description
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: constant
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- lr_scheduler_warmup_steps: 0.03
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- training_steps:
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 0.5521 | 0.03 | 20 | 0.4444 |
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| 0.3942 | 0.05 | 40 | 0.3773 |
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| 0.3777 | 0.08 | 60 | 0.3571 |
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| 0.3452 | 0.11 | 80 | 0.3451 |
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| 0.3219 | 0.13 | 100 | 0.3431 |
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| 0.3339 | 0.16 | 120 | 0.3366 |
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| 0.3147 | 0.19 | 140 | 0.3334 |
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| 0.307 | 0.21 | 160 | 0.3341 |
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| 0.3283 | 0.24 | 180 | 0.3259 |
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| 0.3174 | 0.27 | 200 | 0.3241 |
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### Framework versions
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# sqlm
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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 None dataset.
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## Model description
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: constant
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- lr_scheduler_warmup_steps: 0.03
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- training_steps: 10
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### Training results
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### Framework versions
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adapter_config.json
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"
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"
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],
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"q_proj",
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"v_proj"
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],
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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training_args.bin
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