metadata
base_model: ToirovSadi/t5-small
tags:
- generated_from_trainer
metrics:
- rouge
- bleu
model-index:
- name: t5-small
results: []
t5-small
This model is a fine-tuned version of ToirovSadi/t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.5871
- Rouge1: 61.1404
- Rouge2: 37.8854
- Rougel: 59.2953
- Rougelsum: 59.3081
- Bleu: 0.2843
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: 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 | Bleu |
|---|---|---|---|---|---|---|---|---|
| 1.7433 | 0.99 | 70000 | 1.6000 | 60.9802 | 37.6872 | 59.1561 | 59.1644 | 0.2821 |
| 1.7216 | 1.97 | 140000 | 1.5905 | 61.1241 | 37.8722 | 59.2878 | 59.2991 | 0.2839 |
| 1.7389 | 2.96 | 210000 | 1.5871 | 61.1404 | 37.8854 | 59.2953 | 59.3081 | 0.2843 |
Framework versions
- Transformers 4.36.2
- Pytorch 1.13.0+cu117
- Datasets 2.16.0
- Tokenizers 0.15.0