metadata
license: apache-2.0
base_model: google-t5/t5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: multinews_model
results: []
multinews_model
This model is a fine-tuned version of google-t5/t5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.2447
- Rouge1: 0.1541
- Rouge2: 0.0514
- Rougel: 0.1178
- Rougelsum: 0.1178
- Gen Len: 18.9996
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 2.508 | 1.0 | 1406 | 2.2746 | 0.1525 | 0.0501 | 0.1164 | 0.1164 | 18.9972 |
| 2.4136 | 2.0 | 2812 | 2.2489 | 0.1535 | 0.0512 | 0.1173 | 0.1173 | 18.9996 |
| 2.3479 | 3.0 | 4218 | 2.2447 | 0.1541 | 0.0514 | 0.1178 | 0.1178 | 18.9996 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2