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_avg-droprob_0.2-smooth_0.1-lr_1e-5-dcy_0.1
results: []
flan-t5-small-qclassifier_new_avg-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: 0.5940
- Precision: 0.7153
- Recall: 1.0
- F1: 0.8340
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 |
|---|---|---|---|---|---|---|
| 0.612 | 1.0 | 193 | 0.6055 | 0.7148 | 1.0 | 0.8337 |
| 0.6046 | 2.0 | 386 | 0.5983 | 0.7148 | 1.0 | 0.8337 |
| 0.596 | 3.0 | 579 | 0.5940 | 0.7153 | 1.0 | 0.8340 |
| 0.5907 | 4.0 | 772 | 0.5939 | 0.7181 | 0.9909 | 0.8328 |
| 0.5883 | 5.0 | 965 | 0.5916 | 0.7233 | 0.9692 | 0.8284 |
| 0.5868 | 6.0 | 1158 | 0.5906 | 0.7243 | 0.9692 | 0.8290 |
| 0.5834 | 7.0 | 1351 | 0.5907 | 0.7260 | 0.9583 | 0.8261 |
| 0.581 | 8.0 | 1544 | 0.5905 | 0.7273 | 0.9529 | 0.8250 |
Framework versions
- Transformers 4.43.3
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1