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--- |
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license: apache-2.0 |
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base_model: mistralai/Mistral-7B-v0.1 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: SChem5Labels-mistralai-Mistral-7B-v0.1-inter-dataset-frequency-model-pairwise-mse-cycle1 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# SChem5Labels-mistralai-Mistral-7B-v0.1-inter-dataset-frequency-model-pairwise-mse-cycle1 |
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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: 0.4913 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.0001 |
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- train_batch_size: 1 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 200 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 1.0618 | 0.02 | 69 | 1.0339 | |
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| 0.7935 | 1.02 | 138 | 0.7594 | |
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| 0.5315 | 2.02 | 207 | 0.5753 | |
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| 0.4378 | 3.02 | 276 | 0.4896 | |
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| 0.388 | 4.02 | 345 | 0.4429 | |
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| 0.3829 | 5.02 | 414 | 0.4113 | |
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| 0.3528 | 6.02 | 483 | 0.4034 | |
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| 0.3329 | 7.02 | 552 | 0.3958 | |
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| 0.3117 | 8.02 | 621 | 0.3946 | |
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| 0.3141 | 9.02 | 690 | 0.3906 | |
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| 0.2732 | 10.02 | 759 | 0.3971 | |
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| 0.2638 | 11.02 | 828 | 0.4242 | |
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| 0.2313 | 12.02 | 897 | 0.4540 | |
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| 0.1666 | 13.02 | 966 | 0.4913 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.1+cu121 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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