metadata
license: apache-2.0
base_model: google/mt5-small
tags:
- generated_from_trainer
model-index:
- name: EN_mt5-small_5_spider
results: []
EN_mt5-small_5_spider
This model is a fine-tuned version of google/mt5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5338
- Rouge2 Precision: 0.2042
- Rouge2 Recall: 0.1342
- Rouge2 Fmeasure: 0.1432
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
|---|---|---|---|---|---|---|
| No log | 1.0 | 438 | 3.8119 | 0.0019 | 0.0007 | 0.001 |
| 15.5014 | 2.0 | 876 | 1.4861 | 0.0065 | 0.0026 | 0.0036 |
| 2.1957 | 3.0 | 1314 | 0.7087 | 0.049 | 0.0434 | 0.041 |
| 1.1325 | 4.0 | 1752 | 0.5575 | 0.1566 | 0.1158 | 0.117 |
| 0.7173 | 5.0 | 2190 | 0.5338 | 0.2042 | 0.1342 | 0.1432 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.2
- Datasets 2.16.1
- Tokenizers 0.15.0