metadata
license: apache-2.0
base_model: google/mt5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: mt5-small-task2-dataset4
results: []
mt5-small-task2-dataset4
This model is a fine-tuned version of google/mt5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5672
- 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: 6
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 0.438 | 1.0 | 500 | 0.7425 | 0.0 | 0.0 | 0.0 | 0.0 |
| 0.6245 | 2.0 | 1000 | 0.6182 | 0.0 | 0.0 | 0.0 | 0.0 |
| 0.7026 | 3.0 | 1500 | 0.5939 | 0.0 | 0.0 | 0.0 | 0.0 |
| 0.6624 | 4.0 | 2000 | 0.5739 | 0.0 | 0.0 | 0.0 | 0.0 |
| 0.6389 | 5.0 | 2500 | 0.5673 | 0.0 | 0.0 | 0.0 | 0.0 |
| 0.6249 | 6.0 | 3000 | 0.5672 | 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