|
--- |
|
license: apache-2.0 |
|
base_model: google/mt5-small |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- rouge |
|
model-index: |
|
- name: mt5-small-task3-dataset3 |
|
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. --> |
|
|
|
# mt5-small-task3-dataset3 |
|
|
|
This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.0516 |
|
- Rouge1: 0.0 |
|
- Rouge2: 0.0 |
|
- Rougel: 0.0 |
|
- Rougelsum: 0.0 |
|
|
|
## 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: 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: 7 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | |
|
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:| |
|
| 2.0315 | 1.0 | 500 | 0.0727 | 0.0 | 0.0 | 0.0 | 0.0 | |
|
| 0.1434 | 2.0 | 1000 | 0.0660 | 0.0 | 0.0 | 0.0 | 0.0 | |
|
| 0.0975 | 3.0 | 1500 | 0.0613 | 0.0 | 0.0 | 0.0 | 0.0 | |
|
| 0.0822 | 4.0 | 2000 | 0.0554 | 0.0 | 0.0 | 0.0 | 0.0 | |
|
| 0.0806 | 5.0 | 2500 | 0.0543 | 0.0 | 0.0 | 0.0 | 0.0 | |
|
| 0.0745 | 6.0 | 3000 | 0.0535 | 0.0 | 0.0 | 0.0 | 0.0 | |
|
| 0.0713 | 7.0 | 3500 | 0.0516 | 0.0 | 0.0 | 0.0 | 0.0 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.35.2 |
|
- Pytorch 2.1.0+cu118 |
|
- Datasets 2.15.0 |
|
- Tokenizers 0.15.0 |
|
|
