metadata
library_name: transformers
license: apache-2.0
base_model: t5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: new_t5_model
results: []
new_t5_model
This model is a fine-tuned version of t5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2620
- Rouge1: 0.5313
- Rouge2: 0.3804
- Rougel: 0.497
- Rougelsum: 0.497
- Gen Len: 19.0
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: 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: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 0.5201 | 1.0 | 2185 | 0.4729 | 0.5255 | 0.3455 | 0.4848 | 0.4848 | 19.0 |
| 0.3613 | 2.0 | 4370 | 0.3678 | 0.5381 | 0.3879 | 0.5041 | 0.504 | 19.0 |
| 0.3221 | 3.0 | 6555 | 0.3111 | 0.5328 | 0.3843 | 0.4989 | 0.4989 | 19.0 |
| 0.3552 | 4.0 | 8740 | 0.2620 | 0.5313 | 0.3804 | 0.497 | 0.497 | 19.0 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1