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README.md ADDED
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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-human-pairwise-mse-cycle1
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+ results: []
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+ ---
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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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+
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+ # SChem5Labels-mistralai-Mistral-7B-v0.1-inter-dataset-frequency-human-pairwise-mse-cycle1
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+
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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: 0.4274
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | 1.0662 | 0.02 | 69 | 1.0445 |
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+ | 0.8086 | 1.02 | 138 | 0.7814 |
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+ | 0.5488 | 2.02 | 207 | 0.5977 |
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+ | 0.4417 | 3.02 | 276 | 0.4975 |
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+ | 0.3974 | 4.02 | 345 | 0.4499 |
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+ | 0.3802 | 5.02 | 414 | 0.4198 |
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+ | 0.3573 | 6.02 | 483 | 0.3998 |
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+ | 0.3355 | 7.02 | 552 | 0.3874 |
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+ | 0.3116 | 8.02 | 621 | 0.3949 |
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+ | 0.3116 | 9.02 | 690 | 0.3912 |
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+ | 0.2769 | 10.02 | 759 | 0.4027 |
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+ | 0.2649 | 11.02 | 828 | 0.4274 |
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+
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+
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+ ### Framework versions
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+
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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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