metadata
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
metrics:
- rouge
base_model: google-t5/t5-base
model-index:
- name: t5-base-v2
results: []
t5-base-v2
This model is a fine-tuned version of google-t5/t5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.1406
- Rouge1: 26.0593
- Rouge2: 8.3440
- Rougel: 18.7623
- Rougelsum: 18.7644
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: 4e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 7
- 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 |
|---|---|---|---|---|---|---|---|
| 2.3035 | 0.6 | 200 | 1.9551 | 26.5313 | 8.5854 | 18.5427 | 18.5364 |
| 2.235 | 1.19 | 400 | 2.0039 | 26.6457 | 8.8987 | 18.9702 | 18.9660 |
| 2.3213 | 1.79 | 600 | 2.0703 | 26.3265 | 8.6686 | 18.8473 | 18.8465 |
| 2.3909 | 2.39 | 800 | 2.1191 | 25.8424 | 8.3369 | 18.6260 | 18.6392 |
| 2.4381 | 2.99 | 1000 | 2.1406 | 26.0593 | 8.3440 | 18.7623 | 18.7644 |
Framework versions
- PEFT 0.10.0
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2