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_0.6-droprob_0.2-smooth_0.1-lr_1e-5-dcy_0.0001
results: []
flan-t5-small-qclassifier_new_0.6-droprob_0.2-smooth_0.1-lr_1e-5-dcy_0.0001
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: 0.5710
- Precision: 0.7404
- Recall: 1.0
- F1: 0.8509
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 |
|---|---|---|---|---|---|---|
| 0.6235 | 1.0 | 193 | 0.5839 | 0.7395 | 1.0 | 0.8502 |
| 0.5853 | 2.0 | 386 | 0.5768 | 0.7395 | 1.0 | 0.8502 |
| 0.5783 | 3.0 | 579 | 0.5741 | 0.7395 | 1.0 | 0.8502 |
| 0.5739 | 4.0 | 772 | 0.5745 | 0.7395 | 1.0 | 0.8502 |
| 0.5714 | 5.0 | 965 | 0.5711 | 0.7395 | 1.0 | 0.8502 |
| 0.5695 | 6.0 | 1158 | 0.5710 | 0.7404 | 1.0 | 0.8509 |
| 0.5672 | 7.0 | 1351 | 0.5718 | 0.7404 | 1.0 | 0.8509 |
| 0.5639 | 8.0 | 1544 | 0.5715 | 0.7415 | 0.9956 | 0.8500 |
| 0.5624 | 9.0 | 1737 | 0.5725 | 0.7416 | 0.9912 | 0.8485 |
| 0.5619 | 10.0 | 1930 | 0.5715 | 0.7431 | 0.9860 | 0.8475 |
| 0.5613 | 11.0 | 2123 | 0.5720 | 0.7422 | 0.9842 | 0.8463 |
Framework versions
- Transformers 4.43.3
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1