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--- |
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language: |
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- en |
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license: apache-2.0 |
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tags: |
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- text-generation-inference |
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- transformers |
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- unsloth |
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- llama |
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- trl |
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base_model: unsloth/llama-3-8b-Instruct-bnb-4bit |
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--- |
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# Uploaded model |
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- **Developed by:** Angelectronic |
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- **License:** apache-2.0 |
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- **Finetuned from model :** unsloth/llama-3-8b-Instruct-bnb-4bit |
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This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library. |
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[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth) |
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### Evaluation |
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- **ViMMRC test set:** 0.8385 accuracy |
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### Training results |
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| Training Loss | Accuracy | Step | Validation Loss | |
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|:-------------:|:---------:|:-----:|:---------------:| |
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| 1.836600 | 0.822141 | 240 | 2.302049 | |
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| 1.648300 | 0.827586 | 480 | 2.330861 | |
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| 1.511700 | 0.833031 | 720 | 2.388702 | |
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| 1.376200 | 0.833031 | 960 | 2.528673 | |
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| 1.240900 | 0.833031 | 1200 | 2.592396 | |
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| 1.069600 | 0.831216 | 1440 | 2.697354 | |
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| 0.860700 | 0.827586 | 1680 | 2.827819 | |
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| 0.767000 | 0.838475 | 1920 | 2.826283 | |
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| 0.677900 | 0.822142 | 2160 | 2.965557 | |
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| 0.594500 | 0.822142 | 2400 | 2.979151 | |
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| 0.514500 | 0.820327 | 2640 | 3.109596 | |
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| 0.406800 | 0.818512 | 2880 | 3.196722 | |
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| 0.320700 | 0.818512 | 3120 | 3.232843 | |
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| 0.296100 | 0.822142 | 3360 | 3.294877 | |
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| 0.273400 | 0.818512 | 3600 | 3.346133 | |
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| 0.262800 | 0.816697 | 3840 | 3.344488 | |
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| 0.255100 | 0.818511 | 4080 | 3.349281 | |
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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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- eval_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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### 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 |
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