<deboramachadoandrade>/mistral-7binstruct-summary-100s
Browse files
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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- Loss: 1.
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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: cosine
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- lr_scheduler_warmup_steps: 3
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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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| 1.
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| 1.
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| 1.
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| 1.
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| 1.4207 | 0.13 | 125 | 1.5274 |
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| 1.5952 | 0.16 | 150 | 1.5242 |
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| 1.5299 | 0.19 | 175 | 1.5224 |
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| 1.5765 | 0.22 | 200 | 1.5221 |
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### Framework versions
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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: 1.4587
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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: cosine
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- lr_scheduler_warmup_steps: 3
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- training_steps: 100
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 1.6938 | 0.22 | 25 | 1.5762 |
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| 1.5801 | 0.43 | 50 | 1.4713 |
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| 1.5327 | 0.65 | 75 | 1.4617 |
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| 1.5411 | 0.86 | 100 | 1.4587 |
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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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runs/Mar04_23-52-56_19d606c365e8/events.out.tfevents.1709596378.19d606c365e8.3636.0
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training_args.bin
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