metadata
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5-small-finetuned-xsum
results: []
t5-small-finetuned-xsum
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0011
- Rouge1: 99.8667
- Rouge2: 99.8
- Rougel: 99.8667
- Rougelsum: 99.8667
- Gen Len: 12.778
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: 16
- eval_batch_size: 16
- 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 | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 0.0034 | 1.0 | 2761 | 0.0013 | 99.8333 | 99.8 | 99.8333 | 99.8333 | 12.7787 |
| 0.0029 | 2.0 | 5522 | 0.0011 | 99.8667 | 99.8 | 99.8667 | 99.8667 | 12.778 |
| 0.0032 | 3.0 | 8283 | 0.0011 | 99.8667 | 99.8 | 99.8667 | 99.8667 | 12.778 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.2
- Tokenizers 0.13.3