---
license: apache-2.0
base_model: yhavinga/t5-small-24L-ccmatrix-multi
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: classification_final
  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. -->

# classification_final

This model is a fine-tuned version of [yhavinga/t5-small-24L-ccmatrix-multi](https://huggingface.co/yhavinga/t5-small-24L-ccmatrix-multi) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0695
- F1: 0.9782

## 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: 0.0001
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| No log        | 1.0   | 110  | 0.2572          | 0.2326 |
| No log        | 2.0   | 220  | 0.0883          | 0.9652 |
| No log        | 3.0   | 330  | 0.0744          | 0.9694 |
| No log        | 4.0   | 440  | 0.1080          | 0.9614 |
| 0.1321        | 5.0   | 550  | 0.0685          | 0.9782 |
| 0.1321        | 6.0   | 660  | 0.0695          | 0.9782 |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2