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--- |
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base_model: unsloth/mistral-7b-instruct-v0.2-bnb-4bit |
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library_name: peft |
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license: apache-2.0 |
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tags: |
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- adapter |
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- instruct-tuning |
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- Mistral7B |
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- Batch_Size-4 |
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- Steps-50 |
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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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model-index: |
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- name: PerspectrumInstruct-Baseline-Batch_4-Step_50-FT-Unsloth_Mistral7B |
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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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# PerspectrumInstruct-Baseline-Batch_4-Step_50-FT-Unsloth_Mistral7B |
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This model is a fine-tuned version of [unsloth/mistral-7b-instruct-v0.2-bnb-4bit](https://huggingface.co/unsloth/mistral-7b-instruct-v0.2-bnb-4bit) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.1440 |
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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: 4 |
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- eval_batch_size: 4 |
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- seed: 3407 |
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- gradient_accumulation_steps: 4 |
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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: linear |
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- lr_scheduler_warmup_steps: 5 |
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- training_steps: 50 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 1.6259 | 0.0719 | 20 | 1.2161 | |
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| 1.148 | 0.1438 | 40 | 1.1440 | |
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### Framework versions |
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- PEFT 0.12.0 |
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- Transformers 4.44.0 |
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- Pytorch 2.3.1+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
