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---
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_0.5-droprob_0.2-smooth_0.1-lr_1e-5-dcy_0.0001
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# flan-t5-small-qclassifier_new_0.5-droprob_0.2-smooth_0.1-lr_1e-5-dcy_0.0001
This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6688
- Precision: 0.6014
- Recall: 1.0
- F1: 0.7511
## 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 |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|
| 0.6753 | 1.0 | 193 | 0.6688 | 0.6014 | 1.0 | 0.7511 |
| 0.6661 | 2.0 | 386 | 0.6618 | 0.6045 | 0.9914 | 0.7510 |
| 0.6588 | 3.0 | 579 | 0.6562 | 0.6154 | 0.9483 | 0.7464 |
| 0.6532 | 4.0 | 772 | 0.6538 | 0.6242 | 0.8933 | 0.7349 |
| 0.6498 | 5.0 | 965 | 0.6518 | 0.6533 | 0.8405 | 0.7352 |
| 0.6459 | 6.0 | 1158 | 0.6517 | 0.6560 | 0.8362 | 0.7352 |
### Framework versions
- Transformers 4.43.3
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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