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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/llama-3-8b-Instruct-bnb-4bit |
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model-index: |
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- name: llama3-ViMMRC-Answer |
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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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# llama3-ViMMRC-Answer |
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This model is a fine-tuned version of [unsloth/llama-3-8b-Instruct-bnb-4bit](https://huggingface.co./unsloth/llama-3-8b-Instruct-bnb-4bit) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- **Loss**: 0.1419 |
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- **Accuracy**: 0.885662 |
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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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ViMMRC train and test set |
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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: 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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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 3.2677 | 0.3306 | 10 | 0.1883 | |
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| 0.4922 | 0.6612 | 20 | 0.2020 | |
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| 0.4551 | 0.9917 | 30 | 0.1609 | |
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| 0.4292 | 1.3223 | 40 | 0.2353 | |
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| 0.4361 | 1.6529 | 50 | 0.1758 | |
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| 0.4323 | 1.9835 | 60 | 0.1515 | |
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| 0.4232 | 2.3140 | 70 | 0.1451 | |
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| 0.411 | 2.6446 | 80 | 0.1424 | |
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| 0.413 | 2.9752 | 90 | 0.1419 | |
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### Framework versions |
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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 |
