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--- |
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library_name: transformers |
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license: other |
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base_model: meta-llama/Meta-Llama-3-8B-Instruct |
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tags: |
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- llama-factory |
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- full |
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- generated_from_trainer |
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model-index: |
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- name: sft |
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results: [] |
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language: |
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- or |
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- en |
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datasets: |
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- sam2ai/reasoning-multilingual-R1-indic-odia-train |
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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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## Model description |
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This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on the open_thoughts_indic dataset. The fine-tuning data [here](https://huggingface.co/datasets/sam2ai/reasoning-multilingual-R1-indic-odia-train), |
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## Inference Script |
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Colab - https://colab.research.google.com/#fileId=https%3A//huggingface.co/OdiaGenAI/llama_3_8b_r_1.ipynb |
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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: 1 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 8 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 16 |
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- total_eval_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_ratio: 0.1 |
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- num_epochs: 3.0 |
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### Training results |
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### Framework versions |
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- Transformers 4.45.0 |
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- Pytorch 2.6.0.dev20241113+rocm6.2 |
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- Datasets 3.1.0 |
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- Tokenizers 0.20.3 |
