license: apache-2.0 | |
tags: | |
- generated_from_trainer | |
metrics: | |
- rouge | |
model-index: | |
- name: mt5-small-finetuned-1.1.0 | |
results: [] | |
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# mt5-small-finetuned-1.1.0 | |
This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an unknown dataset. | |
It achieves the following results on the evaluation set: | |
- Loss: 4.5550 | |
- Rouge1: 18.5458 | |
- Rouge2: 5.7454 | |
- Rougel: 15.5515 | |
- Rougelsum: 15.7806 | |
## 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: 2 | |
### Training results | |
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | | |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:| | |
| 15.4799 | 1.0 | 97 | 6.9041 | 16.3755 | 5.6407 | 13.8081 | 13.8801 | | |
| 9.8046 | 2.0 | 194 | 4.5550 | 18.5458 | 5.7454 | 15.5515 | 15.7806 | | |
### Framework versions | |
- Transformers 4.22.2 | |
- Pytorch 1.12.1+cu113 | |
- Datasets 2.5.1 | |
- Tokenizers 0.12.1 | |