metadata
license: apache-2.0
base_model: google-t5/t5-base
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: t5_es_farshad_half_4_2
results: []
t5_es_farshad_half_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: 0.0615
- Accuracy: 0.9896
- F1: 0.9899
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 |
|---|---|---|---|---|---|
| 0.6971 | 5.8501 | 50 | 0.6649 | 0.6589 | 0.6963 |
| 0.6328 | 11.7002 | 100 | 0.4862 | 0.8385 | 0.8422 |
| 0.2936 | 17.5503 | 150 | 0.1150 | 0.9626 | 0.9632 |
| 0.0908 | 23.4004 | 200 | 0.0712 | 0.9771 | 0.9776 |
| 0.0517 | 29.2505 | 250 | 0.0537 | 0.9846 | 0.9851 |
| 0.0342 | 35.1005 | 300 | 0.0500 | 0.9864 | 0.9867 |
| 0.0234 | 40.9506 | 350 | 0.0483 | 0.9884 | 0.9887 |
| 0.0166 | 46.8007 | 400 | 0.0522 | 0.9864 | 0.9867 |
| 0.0128 | 52.6508 | 450 | 0.0553 | 0.9869 | 0.9873 |
| 0.0099 | 58.5009 | 500 | 0.0559 | 0.9884 | 0.9887 |
| 0.0077 | 64.3510 | 550 | 0.0450 | 0.9901 | 0.9905 |
| 0.0061 | 70.2011 | 600 | 0.0477 | 0.9904 | 0.9907 |
| 0.0054 | 76.0512 | 650 | 0.0628 | 0.9867 | 0.9870 |
| 0.004 | 81.9013 | 700 | 0.0533 | 0.9896 | 0.9899 |
| 0.0039 | 87.7514 | 750 | 0.0445 | 0.9919 | 0.9921 |
| 0.0027 | 93.6015 | 800 | 0.0615 | 0.9896 | 0.9899 |
Framework versions
- Transformers 4.40.0
- Pytorch 2.4.1+cu121
- Datasets 3.1.0
- Tokenizers 0.19.1