mt0_1024_gen512

This model is a fine-tuned version of bigscience/mt0-base on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.7265
• Rouge-1: 0.2865
• Rouge-2: 0.1626
• Rouge-4: 0.0962
• Rouge-l: 0.2528
• Rouge-w-1.2: 0.1
• Rouge-s4: 0.128
• Rouge-su4: 0.1553
• R: 0.2153
• P: 0.428
• Bleu: 11.0526

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: 1e-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: 3

Training results

Framework versions

• Transformers 4.26.1
• Pytorch 2.0.0
• Datasets 2.1.0
• Tokenizers 0.13.3