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End of training

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README.md ADDED
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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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+ model-index:
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+ - name: mistral-ViMMRC-Answer
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+ results: []
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+ ---
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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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+
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+ # mistral-ViMMRC-Answer
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+
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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: 0.3477
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 5e-05
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+ - train_batch_size: 16
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+ - eval_batch_size: 8
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+ - seed: 3407
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+ - gradient_accumulation_steps: 4
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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: 3
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:------:|:----:|:---------------:|
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+ | 9.7542 | 0.3306 | 10 | 13.9251 |
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+ | 1.028 | 0.6612 | 20 | 0.7210 |
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+ | 0.7005 | 0.9917 | 30 | 0.4852 |
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+ | 0.6566 | 1.3223 | 40 | 0.5006 |
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+ | 0.6531 | 1.6529 | 50 | 0.5238 |
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+ | 0.6723 | 1.9835 | 60 | 0.3989 |
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+ | 0.6305 | 2.3140 | 70 | 0.3477 |
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+ | 0.6254 | 2.6446 | 80 | 0.3510 |
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+ | 0.6143 | 2.9752 | 90 | 0.3516 |
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.10.0
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+ - Transformers 4.40.2
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+ - Pytorch 2.3.0
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+ - Datasets 2.19.1
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+ - Tokenizers 0.19.1
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