Bloom-1b7-dialogsum
This model is a fine-tuned version of bigscience/bloom-1b7 on an unknown dataset.
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
Final epoch results: {'loss': 0.024, 'learning_rate': 1.4000000000000001e-06, 'epoch': 5.0}
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}
Framework versions
- Transformers 4.37.2
- Pytorch 2.2.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2
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Model tree for alonzogarbanzo/Bloom-1b7-dialogsum
Base model
bigscience/bloom-1b7