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bart-finetuned-f1-to-f2

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

• eval_loss: 0.9162
• eval_bleu: 10.3038
• eval_gen_len: 20.0
• eval_runtime: 247.7355
• eval_samples_per_second: 25.41
• eval_steps_per_second: 1.59
• epoch: 3.0
• step: 10623

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: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 30
• mixed_precision_training: Native AMP

Framework versions

• Transformers 4.24.0
• Pytorch 1.10.0+cu111
• Datasets 2.6.1
• Tokenizers 0.13.2