license: apache-2.0 | |
tags: | |
- generated_from_trainer | |
metrics: | |
- rouge | |
model-index: | |
- name: mt5-small-km-phoneme | |
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-km-phoneme | |
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: 0.5647 | |
- Rouge1: 86.1261 | |
- Rouge2: 75.069 | |
- Rougel: 85.8365 | |
- Rougelsum: 85.8199 | |
- Gen Len: 9.4504 | |
## 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: 5e-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 | | |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:| | |
| 1.0708 | 1.0 | 2514 | 0.7873 | 81.0997 | 66.3068 | 80.6177 | 80.6219 | 9.3808 | | |
| 0.8576 | 2.0 | 5028 | 0.6091 | 85.158 | 73.3987 | 84.8532 | 84.8374 | 9.4117 | | |
| 0.813 | 3.0 | 7542 | 0.5647 | 86.1261 | 75.069 | 85.8365 | 85.8199 | 9.4504 | | |
### Framework versions | |
- Transformers 4.28.1 | |
- Pytorch 2.0.0+cu117 | |
- Datasets 2.11.0 | |
- Tokenizers 0.13.3 | |