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