metadata
library_name: transformers
license: apache-2.0
base_model: bigscience/mt0-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: mt0-base-headline-base
results: []
mt0-base-headline-base
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: nan
- Rouge1: 0.0
- Rouge2: 0.0
- Rougel: 0.0
- Rougelsum: 0.0
- Gen Len: 18.7817
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: 0.0001
- train_batch_size: 10
- eval_batch_size: 10
- seed: 42
- optimizer: Use 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: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 0.0 | 1.0 | 202 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 18.7817 |
| 0.0 | 2.0 | 404 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 18.7817 |
| 0.0 | 3.0 | 606 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 18.7817 |
| 0.0 | 4.0 | 808 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 18.7817 |
Framework versions
- Transformers 4.52.4
- Pytorch 2.7.0+cu126
- Datasets 3.6.0
- Tokenizers 0.21.1