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--- |
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license: apache-2.0 |
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library_name: peft |
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tags: |
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- alignment-handbook |
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- trl |
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- sft |
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- unsloth |
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- generated_from_trainer |
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- trl |
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- sft |
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- unsloth |
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- generated_from_trainer |
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- unsloth |
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datasets: |
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- zeta-labs/mind2web_combined_236_18_01 |
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base_model: unsloth/mistral-7b |
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model-index: |
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- name: shortstep_test |
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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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# shortstep_test |
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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 the zeta-labs/mind2web_combined_236_18_01 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3442 |
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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: 0.0002 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 16 |
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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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- lr_scheduler_warmup_ratio: 0.1 |
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- training_steps: 5 |
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### Training results |
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### Framework versions |
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- PEFT 0.7.1 |
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- Transformers 4.37.0 |
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- Pytorch 2.1.2 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.1 |
