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_0.0001
results: []
flan-t5-small-qclassifier_new_avg-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: 0.6057
- Precision: 0.7148
- Recall: 1.0
- F1: 0.8337
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 |
|---|---|---|---|---|---|---|
| 0.6146 | 1.0 | 193 | 0.6057 | 0.7148 | 1.0 | 0.8337 |
| 0.606 | 2.0 | 386 | 0.5984 | 0.7148 | 1.0 | 0.8337 |
| 0.5965 | 3.0 | 579 | 0.5937 | 0.7148 | 1.0 | 0.8337 |
| 0.5913 | 4.0 | 772 | 0.5934 | 0.7154 | 0.9982 | 0.8335 |
| 0.5885 | 5.0 | 965 | 0.5902 | 0.7196 | 0.9773 | 0.8289 |
| 0.5871 | 6.0 | 1158 | 0.5891 | 0.7213 | 0.9737 | 0.8287 |
Framework versions
- Transformers 4.43.3
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1