bart-large-cnn-100-lit-evalMA

This model is a fine-tuned version of facebook/bart-large-cnn on an unknown dataset. It achieves the following results on the evaluation set:

• eval_loss: 2.1514
• eval_rouge1: 27.8026
• eval_rouge2: 11.2998
• eval_rougeL: 21.4708
• eval_rougeLsum: 24.6333
• eval_gen_len: 62.5
• eval_runtime: 25.6587
• eval_samples_per_second: 0.39
• eval_steps_per_second: 0.39
• epoch: 2.0
• step: 200

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: 2e-05
• train_batch_size: 1
• eval_batch_size: 1
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 5
• mixed_precision_training: Native AMP

Framework versions

• Transformers 4.16.2
• Pytorch 1.10.2
• Datasets 1.18.3
• Tokenizers 0.11.0