README.md

metadata

library_name: transformers
license: apache-2.0
base_model: google/mt5-base
tags:
  - summarization
  - generated_from_trainer
metrics:
  - rouge
model-index:
  - name: mt5-finetuned-summarize
    results: []

mt5-finetuned-summarize

This model is a fine-tuned version of google/mt5-base on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: nan
• Rouge1: 0.0
• Rouge2: 0.0
• Rougel: 0.0
• Rougelsum: 0.0

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: 4
• eval_batch_size: 4
• seed: 42
• optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 20
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
0.0	0.9969	317	nan	0.0	0.0	0.0	0.0
0.0	1.9937	634	nan	0.0	0.0	0.0	0.0
0.0	2.9906	951	nan	0.0	0.0	0.0	0.0
0.0	3.9874	1268	nan	0.0	0.0	0.0	0.0
0.0	4.9843	1585	nan	0.0	0.0	0.0	0.0
0.0	5.9811	1902	nan	0.0	0.0	0.0	0.0
0.0	6.9780	2219	nan	0.0	0.0	0.0	0.0
0.0	7.9748	2536	nan	0.0	0.0	0.0	0.0
0.0	8.9717	2853	nan	0.0	0.0	0.0	0.0
0.0	9.9686	3170	nan	0.0	0.0	0.0	0.0
0.0	10.9654	3487	nan	0.0	0.0	0.0	0.0
0.0	11.9623	3804	nan	0.0	0.0	0.0	0.0
0.0	12.9591	4121	nan	0.0	0.0	0.0	0.0
0.0	13.9560	4438	nan	0.0	0.0	0.0	0.0
0.0	14.9528	4755	nan	0.0	0.0	0.0	0.0
0.0	15.9497	5072	nan	0.0	0.0	0.0	0.0
0.0	16.9465	5389	nan	0.0	0.0	0.0	0.0
0.0	17.9434	5706	nan	0.0	0.0	0.0	0.0
0.0	18.9403	6023	nan	0.0	0.0	0.0	0.0
0.0	19.9371	6340	nan	0.0	0.0	0.0	0.0

Framework versions

• Transformers 4.47.1
• Pytorch 2.5.1+cu121
• Datasets 3.2.0
• Tokenizers 0.21.0