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--- |
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license: bigscience-bloom-rail-1.0 |
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base_model: bigscience/bloom-1b7 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: Bloom-1b7-dialogsum |
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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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# Bloom-1b7-dialogsum |
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This model is a fine-tuned version of [bigscience/bloom-1b7](https://huggingface.co/bigscience/bloom-1b7) on an unknown dataset. |
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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: 1 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 4 |
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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: 5 |
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- mixed_precision_training: Native AMP |
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### Training results |
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Final epoch results: {'loss': 0.024, 'learning_rate': 1.4000000000000001e-06, 'epoch': 5.0} |
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After finished: {'train_runtime': 582.2106, 'train_samples_per_second': 1.718, 'train_steps_per_second': 0.429, 'train_loss': 0.72078223118186, 'epoch': 5.0} |
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### Framework versions |
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- Transformers 4.37.2 |
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- Pytorch 2.2.0+cu121 |
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- Datasets 2.17.0 |
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- Tokenizers 0.15.2 |
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