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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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- trl |
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- sft |
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- unsloth |
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- generated_from_trainer |
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base_model: unsloth/mistral-7b-instruct-v0.2-bnb-4bit |
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metrics: |
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- rouge |
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model-index: |
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- name: mistral_charttotext_FV |
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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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# mistral_charttotext_FV |
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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 the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5696 |
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- Rouge1: 0.8028 |
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- Rougel: 0.7560 |
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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: 1e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 1 |
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- seed: 3407 |
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- gradient_accumulation_steps: 16 |
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- total_train_batch_size: 64 |
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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_steps: 5 |
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- num_epochs: 6 |
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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 | Rouge1 | Rougel | |
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|:-------------:|:------:|:----:|:---------------:|:------:|:------:| |
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| 0.6658 | 0.9980 | 380 | 0.5965 | 0.7724 | 0.7264 | |
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| 0.5686 | 1.9987 | 761 | 0.5753 | 0.7833 | 0.7375 | |
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| 0.5714 | 2.9980 | 1140 | 0.5517 | 0.8027 | 0.7613 | |
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| 0.5672 | 3.9980 | 1520 | 0.5664 | 0.8067 | 0.7564 | |
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| 0.5136 | 4.9980 | 1900 | 0.5672 | 0.8053 | 0.7572 | |
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| 0.5118 | 5.9980 | 2280 | 0.5696 | 0.8028 | 0.7560 | |
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### Framework versions |
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- PEFT 0.11.1 |
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- Transformers 4.41.2 |
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- Pytorch 2.2.0 |
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- Datasets 2.16.0 |
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- Tokenizers 0.19.1 |
