metadata
license: apache-2.0
base_model: google-t5/t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5-small_finetuned
results: []
t5-small_finetuned
This model is a fine-tuned version of google-t5/t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.3627
- Rouge1: 0.0803
- Rouge2: 0.0361
- Rougel: 0.0639
- Rougelsum: 0.0639
- 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: 2e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 40 | 4.3241 | 0.0648 | 0.0176 | 0.0423 | 0.0422 | 19.0 |
| No log | 2.0 | 80 | 3.2274 | 0.0662 | 0.0151 | 0.0407 | 0.0408 | 19.0 |
| No log | 3.0 | 120 | 2.6249 | 0.0723 | 0.0231 | 0.0504 | 0.0505 | 19.0 |
| No log | 4.0 | 160 | 2.2116 | 0.0752 | 0.0294 | 0.0583 | 0.0583 | 19.0 |
| No log | 5.0 | 200 | 1.9128 | 0.0787 | 0.0336 | 0.0638 | 0.0638 | 19.0 |
| No log | 6.0 | 240 | 1.7005 | 0.0779 | 0.033 | 0.0623 | 0.0623 | 19.0 |
| No log | 7.0 | 280 | 1.5455 | 0.0791 | 0.0339 | 0.0632 | 0.0632 | 19.0 |
| No log | 8.0 | 320 | 1.4428 | 0.0807 | 0.0362 | 0.0646 | 0.0646 | 19.0 |
| No log | 9.0 | 360 | 1.3827 | 0.0806 | 0.0362 | 0.0642 | 0.0642 | 19.0 |
| No log | 10.0 | 400 | 1.3627 | 0.0803 | 0.0361 | 0.0639 | 0.0639 | 19.0 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0