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# results2

This model is a fine-tuned version of [UBC-NLP/AraT5v2-base-1024](https://huggingface.co/UBC-NLP/AraT5v2-base-1024) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1539
- F1: 0.9682

## 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: 5e-05
- train_batch_size: 4
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 3.1612        | 1.0   | 574  | 2.9806          | 0.0625 |
| 2.7788        | 2.0   | 1148 | 1.6246          | 0.4172 |
| 1.0397        | 3.0   | 1722 | 0.3903          | 0.8539 |
| 0.3532        | 4.0   | 2296 | 0.2816          | 0.9261 |
| 0.1624        | 5.0   | 2870 | 0.2199          | 0.9512 |
| 0.0984        | 6.0   | 3444 | 0.1321          | 0.9720 |
| 0.0581        | 7.0   | 4018 | 0.1576          | 0.9682 |
| 0.0369        | 8.0   | 4592 | 0.1243          | 0.9760 |
| 0.0351        | 9.0   | 5166 | 0.1539          | 0.9721 |
| 0.0338        | 10.0  | 5740 | 0.1539          | 0.9682 |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.0.1
- Datasets 2.16.1
- Tokenizers 0.15.0

{"tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "UBC-NLP/AraT5v2-base-1024", "model-index": [{"name": "results2", "results": []}]}
transformers safetensors t5 text-classification generated_from_trainer base_model:UBC-NLP/AraT5v2-base-1024 autotrain_compatible endpoints_compatible text-generation-inference region:us