metadata
library_name: transformers
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: summarize_model
results: []
summarize_model
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.7638
- Rouge1: 0.2453
- Rouge2: 0.1053
- Rougel: 0.1992
- Rougelsum: 0.1988
- 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: 3e-05
- train_batch_size: 16
- eval_batch_size: 16
- 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 |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 100 | 1.8301 | 0.2376 | 0.0971 | 0.1916 | 0.1915 | 19.0 |
| No log | 2.0 | 200 | 1.7931 | 0.2424 | 0.0991 | 0.1954 | 0.1953 | 19.0 |
| No log | 3.0 | 300 | 1.7741 | 0.241 | 0.1015 | 0.1954 | 0.1952 | 19.0 |
| No log | 4.0 | 400 | 1.7658 | 0.244 | 0.105 | 0.1986 | 0.1983 | 19.0 |
| 2.0548 | 5.0 | 500 | 1.7638 | 0.2453 | 0.1053 | 0.1992 | 0.1988 | 19.0 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3