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--- |
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license: apache-2.0 |
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base_model: Felladrin/Smol-Llama-101M-Chat-v1 |
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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_DialogSumm |
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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_DialogSumm |
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This model is a fine-tuned version of [Felladrin/Smol-Llama-101M-Chat-v1](https://huggingface.co/Felladrin/Smol-Llama-101M-Chat-v1) on [Isotonic/DialogSumm](https://huggingface.co/datasets/Isotonic/DialogSumm) dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.8918 |
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- Accuracy: 0.6050 |
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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-04 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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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: 0.3 |
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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 | 411 | 2.0053 | 0.5871 | |
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| 2.0885 | 2.0 | 822 | 1.9287 | 0.5971 | |
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| 1.8728 | 3.0 | 1233 | 1.8916 | 0.6039 | |
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| 1.7214 | 4.0 | 1644 | 1.8918 | 0.6050 | |
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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 0.15.1 |
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