Commit
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ba9d9d0
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Parent(s):
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Model save
Browse files- README.md +12 -3
- adapter_config.json +3 -3
- adapter_model.safetensors +1 -1
- all_results.json +8 -8
- eval_results.json +5 -5
- runs/Dec14_10-31-23_s4311/events.out.tfevents.1702549962.s4311.768568.0 +3 -0
- runs/Dec14_10-31-23_s4311/events.out.tfevents.1702554102.s4311.768568.1 +3 -0
- train_results.json +4 -4
- trainer_state.json +100 -16
- 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 an unknown 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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- total_train_batch_size: 512
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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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- num_epochs:
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 1.7095 | 0.09 | 1 | 1.
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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 an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.4756
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## Model description
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- total_train_batch_size: 512
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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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- num_epochs: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 1.7095 | 0.09 | 1 | 1.7013 |
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| 1.7095 | 1.07 | 2 | 1.6854 |
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| 1.7095 | 2.06 | 3 | 1.6635 |
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| 1.7095 | 3.04 | 4 | 1.6378 |
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| 1.6715 | 4.02 | 5 | 1.6107 |
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| 1.6715 | 5.1 | 7 | 1.5584 |
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| 1.6715 | 6.08 | 8 | 1.5345 |
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| 1.6715 | 7.06 | 9 | 1.5133 |
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| 1.5588 | 8.05 | 10 | 1.4934 |
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| 1.5588 | 9.03 | 11 | 1.4756 |
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### Framework versions
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adapter_config.json
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runs/Dec14_10-31-23_s4311/events.out.tfevents.1702549962.s4311.768568.0
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training_args.bin
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