bloom-560m-ft-summarization-cnn
This model is a fine-tuned version of bigscience/bloom-560m on the cnn_dailymail dataset. It achieves the following results on the evaluation set:
- eval_loss: 2.6957
- eval_runtime: 587.637
- eval_samples_per_second: 10.398
- eval_steps_per_second: 5.199
- epoch: 0.97
- step: 130000
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: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.22.2
- Pytorch 1.12.1+cu113
- Datasets 2.5.2
- Tokenizers 0.12.1