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--- |
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license: llama3.1 |
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base_model: NousResearch/Meta-Llama-3.1-8B-Instruct |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: Llama-3.1-8B-Instruct-EI1-120K-fix-32gpus-06 |
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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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# Llama-3.1-8B-Instruct-EI1-120K-fix-32gpus-06 |
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This model is a fine-tuned version of [NousResearch/Meta-Llama-3.1-8B-Instruct](https://huggingface.co/NousResearch/Meta-Llama-3.1-8B-Instruct) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4427 |
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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: 6e-06 |
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- train_batch_size: 2 |
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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: 32 |
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- total_train_batch_size: 64 |
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- total_eval_batch_size: 256 |
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- optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- num_epochs: 2.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| No log | 0.4854 | 100 | 0.5271 | |
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| No log | 0.9709 | 200 | 0.4686 | |
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| No log | 1.4563 | 300 | 0.4482 | |
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| No log | 1.9417 | 400 | 0.4427 | |
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### Framework versions |
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- Transformers 4.43.4 |
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- Pytorch 2.4.0+cu121 |
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- Datasets 3.0.1 |
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- Tokenizers 0.19.1 |
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