Model save
Browse files- README.md +2 -2
- all_results.json +7 -7
- eval_results.json +4 -4
- model-00001-of-00003.safetensors +1 -1
- model-00002-of-00003.safetensors +1 -1
- model-00003-of-00003.safetensors +1 -1
- runs/Dec29_19-23-52_aga39/events.out.tfevents.1703899471.aga39.210729.0 +3 -0
- runs/Dec29_19-23-52_aga39/events.out.tfevents.1703901731.aga39.210729.1 +3 -0
- train_results.json +3 -3
- trainer_state.json +7 -7
- training_args.bin +1 -1
README.md
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This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the generator 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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| 1.1405 | 1.0 | 193 | 0.
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### Framework versions
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This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the generator dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.9542
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 1.1405 | 1.0 | 193 | 0.9542 |
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### Framework versions
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all_results.json
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"epoch": 1.0,
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"eval_loss": 0.
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"eval_runtime": 85.
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"eval_steps_per_second": 0.
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"train_loss": 1.
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"train_runtime":
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"eval_runtime": 85.9067,
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"eval_samples_per_second": 179.625,
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"eval_steps_per_second": 0.361,
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"train_loss": 1.006550097712581,
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"train_runtime": 2174.1063,
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"train_samples_per_second": 45.285,
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"train_steps_per_second": 0.089
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}
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eval_results.json
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"epoch": 1.0,
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"eval_loss": 0.
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"eval_runtime": 85.
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model-00001-of-00003.safetensors
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runs/Dec29_19-23-52_aga39/events.out.tfevents.1703899471.aga39.210729.0
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train_results.json
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trainer_state.json
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training_args.bin
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