|
--- |
|
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: [] |
|
--- |
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
# t5-base-v2 |
|
|
|
This model is a fine-tuned version of [google-t5/t5-base](https://huggingface.co/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 |
