| --- |
| license: apache-2.0 |
| library_name: peft |
| tags: |
| - alignment-handbook |
| - trl |
| - sft |
| - unsloth |
| - generated_from_trainer |
| - trl |
| - sft |
| - unsloth |
| - generated_from_trainer |
| - unsloth |
| datasets: |
| - zeta-labs/mind2web_combined_236_18_01 |
| base_model: unsloth/mistral-7b |
| model-index: |
| - name: uploadtestsmallstep2 |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # uploadtestsmallstep2 |
|
|
| This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the zeta-labs/mind2web_combined_236_18_01 dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.3438 |
|
|
| ## 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: |
| - learning_rate: 0.0002 |
| - train_batch_size: 8 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - gradient_accumulation_steps: 2 |
| - total_train_batch_size: 16 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: cosine |
| - lr_scheduler_warmup_ratio: 0.1 |
| - training_steps: 5 |
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| ### Training results |
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| ### Framework versions |
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| - PEFT 0.7.1 |
| - Transformers 4.37.0 |
| - Pytorch 2.1.2 |
| - Datasets 2.16.1 |
| - Tokenizers 0.15.1 |
