metadata
license: apache-2.0
base_model: t5-small
tags:
- summarization
- generated_from_trainer
metrics:
- rouge
model-index:
- name: results
results: []
results
This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.7600
- Rouge1: 0.1317
- Rouge2: 0.1118
- Rougel: 0.1232
- Rougelsum: 0.1232
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
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 250 | 1.8935 | 0.04 | 0.0359 | 0.0375 | 0.0375 |
| 2.8412 | 2.0 | 500 | 1.7864 | 0.1089 | 0.0934 | 0.0954 | 0.0954 |
| 2.8412 | 3.0 | 750 | 1.7600 | 0.1317 | 0.1118 | 0.1232 | 0.1232 |
Framework versions
- Transformers 4.42.3
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1