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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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- Epoch-1 |
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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-R_32-Alpha_64_Batch_4-Epoch_1-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-R_32-Alpha_64_Batch_4-Epoch_1-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: 0.3841 |
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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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- num_epochs: 1 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 1.356 | 0.1078 | 30 | 1.0690 | |
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| 1.0215 | 0.2156 | 60 | 0.9446 | |
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| 0.9024 | 0.3235 | 90 | 0.8369 | |
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| 0.8971 | 0.4313 | 120 | 0.7261 | |
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| 0.7858 | 0.5391 | 150 | 0.6317 | |
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| 0.7608 | 0.6469 | 180 | 0.5461 | |
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| 0.6772 | 0.7547 | 210 | 0.4775 | |
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| 0.6375 | 0.8625 | 240 | 0.4176 | |
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| 0.6158 | 0.9704 | 270 | 0.3841 | |
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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 2.3.0+cu118 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
