metadata
license: apache-2.0
base_model: google/mt5-base
tags:
- generated_from_trainer
model-index:
- name: task_extractor
results: []
task_extractor
This model is a fine-tuned version of google/mt5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7608
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.8299 | 0.01 | 1 | 0.7502 |
| 0.9862 | 0.01 | 2 | 0.7763 |
| 1.0227 | 0.02 | 3 | 0.8039 |
| 1.1557 | 0.02 | 4 | 0.8060 |
| 0.7247 | 0.03 | 5 | 0.7926 |
| 0.9313 | 0.04 | 6 | 0.7778 |
| 0.7847 | 0.04 | 7 | 0.7740 |
| 0.9917 | 0.05 | 8 | 0.7659 |
| 0.996 | 0.05 | 9 | 0.7630 |
| 1.078 | 0.06 | 10 | 0.7608 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.1
- Datasets 2.15.0
- Tokenizers 0.15.0