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--- |
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license: cc-by-nc-4.0 |
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base_model: CohereForAI/aya-23-8B |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: AYA-8B |
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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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# AYA-8B |
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This model is a fine-tuned version of [CohereForAI/aya-23-8B](https://huggingface.co/CohereForAI/aya-23-8B) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.0612 |
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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: 2e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 8 |
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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: linear |
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- num_epochs: 10 |
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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 | 1.0 | 21 | 1.8918 | |
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| No log | 2.0 | 42 | 1.9454 | |
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| No log | 3.0 | 63 | 2.2400 | |
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| No log | 4.0 | 84 | 2.4862 | |
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| No log | 5.0 | 105 | 2.5904 | |
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| No log | 6.0 | 126 | 2.8061 | |
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| No log | 7.0 | 147 | 2.8986 | |
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| No log | 8.0 | 168 | 2.9773 | |
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| No log | 9.0 | 189 | 3.0367 | |
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| No log | 10.0 | 210 | 3.0612 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.2.1 |
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- Datasets 2.19.2 |
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- Tokenizers 0.19.1 |
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