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README.md ADDED
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+ ---
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+ base_model: Unbabel/TowerInstruct-7B-v0.2
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+ library_name: peft
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+ license: cc-by-nc-4.0
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+ tags:
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+ - trl
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+ - sft
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+ - generated_from_trainer
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+ model-index:
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+ - name: BioTowerInstruct-7b-v0.2-run09
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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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+ # BioTowerInstruct-7b-v0.2-run09
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+
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+ This model is a fine-tuned version of [Unbabel/TowerInstruct-7B-v0.2](https://huggingface.co/Unbabel/TowerInstruct-7B-v0.2) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.3265
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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: 1e-05
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+ - train_batch_size: 2
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - gradient_accumulation_steps: 4
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+ - total_train_batch_size: 8
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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: 1
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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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+ | 2.1703 | 0.08 | 30 | 2.0597 |
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+ | 1.7574 | 0.16 | 60 | 1.8526 |
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+ | 1.5809 | 0.24 | 90 | 1.7084 |
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+ | 1.3437 | 0.32 | 120 | 1.5682 |
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+ | 1.3627 | 0.4 | 150 | 1.5074 |
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+ | 1.2534 | 0.48 | 180 | 1.4496 |
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+ | 1.1732 | 0.56 | 210 | 1.4031 |
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+ | 1.1735 | 0.64 | 240 | 1.3727 |
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+ | 1.1581 | 0.72 | 270 | 1.3522 |
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+ | 1.2024 | 0.8 | 300 | 1.3389 |
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+ | 1.1346 | 0.88 | 330 | 1.3315 |
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+ | 1.0714 | 0.96 | 360 | 1.3265 |
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.12.0
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+ - Transformers 4.44.2
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+ - Pytorch 2.4.0
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+ - Datasets 2.21.0
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+ - Tokenizers 0.19.1
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