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--- |
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license: bigscience-bloom-rail-1.0 |
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base_model: bigscience/bloomz-560m |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: bloomz-560m_fine_lr5e-06_bs10_epoch5_wd0.01 |
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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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# bloomz-560m_fine_lr5e-06_bs10_epoch5_wd0.01 |
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This model is a fine-tuned version of [bigscience/bloomz-560m](https://huggingface.co/bigscience/bloomz-560m) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.5844 |
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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-06 |
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- train_batch_size: 10 |
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- eval_batch_size: 10 |
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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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- lr_scheduler_warmup_steps: 500 |
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- num_epochs: 5 |
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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 | 63 | 3.4802 | |
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| 3.849 | 2.0 | 126 | 3.3166 | |
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| 3.849 | 3.0 | 189 | 3.2893 | |
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| 3.0871 | 4.0 | 252 | 3.3753 | |
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| 2.385 | 5.0 | 315 | 3.5844 | |
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### Framework versions |
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- Transformers 4.36.2 |
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- Pytorch 2.0.1 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.0 |
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