metadata
license: apache-2.0
base_model: google/flan-t5-small
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
model-index:
- name: >-
flan-t5-small-qclassifier_new_median-droprob_0.2-smooth_0.1-lr_1e-5-dcy_0.1
results: []
flan-t5-small-qclassifier_new_median-droprob_0.2-smooth_0.1-lr_1e-5-dcy_0.1
This model is a fine-tuned version of google/flan-t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6462
- Precision: 0.6513
- Recall: 1.0
- F1: 0.7888
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: 1e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15
- label_smoothing_factor: 0.1
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 |
|---|---|---|---|---|---|---|
| 0.753 | 1.0 | 193 | 0.6462 | 0.6513 | 1.0 | 0.7888 |
| 0.6447 | 2.0 | 386 | 0.6376 | 0.6523 | 0.9970 | 0.7886 |
| 0.6369 | 3.0 | 579 | 0.6331 | 0.6573 | 0.9811 | 0.7872 |
| 0.6318 | 4.0 | 772 | 0.6313 | 0.6626 | 0.9671 | 0.7864 |
| 0.6278 | 5.0 | 965 | 0.6279 | 0.6754 | 0.9272 | 0.7815 |
| 0.6241 | 6.0 | 1158 | 0.6283 | 0.6747 | 0.9262 | 0.7807 |
Framework versions
- Transformers 4.43.3
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1