metadata
license: apache-2.0
base_model: t5-base
tags:
- summarization
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5-base-finetuned-amazon-en-es
results: []
t5-base-finetuned-amazon-en-es
This model is a fine-tuned version of t5-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 5.0971
- Rouge1: 5.4907
- Rouge2: 0.0
- Rougel: 5.4907
- Rougelsum: 5.4907
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: 5.6e-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: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 5.7476 | 1.0 | 2 | 5.4826 | 8.0818 | 0.0 | 8.0898 | 6.7159 |
| 5.6005 | 2.0 | 4 | 5.3150 | 5.4125 | 0.0 | 5.4125 | 5.4654 |
| 5.4222 | 3.0 | 6 | 5.2311 | 5.3768 | 0.0 | 5.3768 | 5.4298 |
| 4.9619 | 4.0 | 8 | 5.1824 | 6.6672 | 0.0 | 6.6672 | 6.6794 |
| 4.2747 | 5.0 | 10 | 5.1472 | 6.6672 | 0.0 | 6.6672 | 6.6794 |
| 4.2784 | 6.0 | 12 | 5.1219 | 5.4907 | 0.0 | 5.4907 | 5.4907 |
| 5.2337 | 7.0 | 14 | 5.1052 | 5.4907 | 0.0 | 5.4907 | 5.4907 |
| 4.7063 | 8.0 | 16 | 5.0971 | 5.4907 | 0.0 | 5.4907 | 5.4907 |
Framework versions
- Transformers 4.32.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3