metadata
library_name: transformers
license: apache-2.0
base_model: google/mt5-small
tags:
- generated_from_trainer
metrics:
- precision
- recall
model-index:
- name: mT5_base
results: []
mT5_base
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: 0.3417
- Bleu Score: 47.0526
- Precision: 17.2043
- Recall: 17.2043
- Gen Len: 16.8315
- Err: 17.2043
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: 0.0001
- 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: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu Score | Precision | Recall | Gen Len | Err |
|---|---|---|---|---|---|---|---|---|
| 2.798 | 1.0 | 838 | 0.5495 | 41.8683 | 7.7658 | 7.7658 | 16.7766 | 7.7658 |
| 0.7216 | 2.0 | 1676 | 0.4311 | 44.9002 | 13.0227 | 13.0227 | 16.8148 | 13.0227 |
| 0.5551 | 3.0 | 2514 | 0.3565 | 46.5247 | 16.0096 | 16.0096 | 16.816 | 16.0096 |
| 0.4951 | 4.0 | 3352 | 0.3417 | 47.0526 | 17.2043 | 17.2043 | 16.8315 | 17.2043 |
Framework versions
- Transformers 4.45.1
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.0