metadata
license: apache-2.0
base_model: google-t5/t5-base
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: t5_es_weight_4_2
results: []
t5_es_weight_4_2
This model is a fine-tuned version of google-t5/t5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0201
- Accuracy: 0.9955
- F1: 0.9958
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: 64
- eval_batch_size: 64
- seed: 42
- gradient_accumulation_steps: 64
- total_train_batch_size: 4096
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 100
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.7207 | 6.8817 | 50 | 0.6639 | 0.631 | 0.7122 |
| 0.6227 | 13.7634 | 100 | 0.4261 | 0.8935 | 0.9021 |
| 0.2336 | 20.6452 | 150 | 0.0745 | 0.979 | 0.9803 |
| 0.0593 | 27.5269 | 200 | 0.0453 | 0.9845 | 0.9853 |
| 0.0286 | 34.4086 | 250 | 0.0287 | 0.9915 | 0.992 |
| 0.0149 | 41.2903 | 300 | 0.0201 | 0.995 | 0.9953 |
| 0.0078 | 48.1720 | 350 | 0.0194 | 0.996 | 0.9962 |
| 0.0047 | 55.0538 | 400 | 0.0203 | 0.9965 | 0.9967 |
| 0.0033 | 61.9355 | 450 | 0.0203 | 0.996 | 0.9962 |
| 0.0024 | 68.8172 | 500 | 0.0192 | 0.996 | 0.9962 |
| 0.0016 | 75.6989 | 550 | 0.0194 | 0.996 | 0.9962 |
| 0.0008 | 82.5806 | 600 | 0.0219 | 0.996 | 0.9962 |
| 0.0008 | 89.4624 | 650 | 0.0249 | 0.996 | 0.9963 |
| 0.0026 | 96.3441 | 700 | 0.0201 | 0.9955 | 0.9958 |
Framework versions
- Transformers 4.40.0
- Pytorch 2.4.1+cu121
- Datasets 3.1.0
- Tokenizers 0.19.1