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--- |
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license: apache-2.0 |
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base_model: Isotonic/smol_llama-4x220M-MoE |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: smol_llama_x |
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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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# smol_llama_x |
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This model is a fine-tuned version of [Isotonic/smol_llama-4x220M-MoE](https://huggingface.co/Isotonic/smol_llama-4x220M-MoE) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.5906 |
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- Accuracy: 0.6799 |
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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: 5e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine_with_restarts |
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- lr_scheduler_warmup_ratio: 0.2 |
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- num_epochs: 4 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| No log | 1.0 | 211 | 1.4545 | 0.6908 | |
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| No log | 2.0 | 422 | 1.4871 | 0.6881 | |
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| 1.4748 | 3.0 | 633 | 1.5353 | 0.6841 | |
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| 1.4748 | 4.0 | 844 | 1.5906 | 0.6799 | |
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### Framework versions |
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- Transformers 4.37.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.17.0 |
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- Tokenizers 0.15.2 |
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