metadata
library_name: transformers
license: apache-2.0
base_model: google-t5/t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: google-t5-summarizer
results: []
google-t5-summarizer
This model is a fine-tuned version of google-t5/t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.3654
- Rouge1: 0.1892
- Rouge2: 0.0938
- Rougel: 0.1604
- Rougelsum: 0.1604
- Gen Len: 20.0
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 124 | 2.6000 | 0.1394 | 0.0499 | 0.1158 | 0.1159 | 20.0 |
| No log | 2.0 | 248 | 2.4289 | 0.1666 | 0.0747 | 0.1407 | 0.1404 | 20.0 |
| No log | 3.0 | 372 | 2.3809 | 0.1846 | 0.09 | 0.1562 | 0.1562 | 20.0 |
| No log | 4.0 | 496 | 2.3654 | 0.1892 | 0.0938 | 0.1604 | 0.1604 | 20.0 |
Framework versions
- Transformers 4.57.1
- Pytorch 2.9.0
- Datasets 4.2.0
- Tokenizers 0.22.1