---
license: apache-2.0
base_model: google-t5/t5-base
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: t5_es_farshad_half_2_4
  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. -->

# t5_es_farshad_half_2_4

This model is a fine-tuned version of [google-t5/t5-base](https://huggingface.co/google-t5/t5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0456
- Accuracy: 0.9916
- F1: 0.9919

## 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: 64
- eval_batch_size: 64
- seed: 42
- gradient_accumulation_steps: 64
- total_train_batch_size: 4096
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 100

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:-------:|:----:|:---------------:|:--------:|:------:|
| 0.8073        | 5.8501  | 50   | 0.7215          | 0.4858   | 0.0155 |
| 0.659         | 11.7002 | 100  | 0.5497          | 0.8353   | 0.8282 |
| 0.3485        | 17.5503 | 150  | 0.1162          | 0.9684   | 0.9692 |
| 0.0936        | 23.4004 | 200  | 0.0599          | 0.9814   | 0.9821 |
| 0.0492        | 29.2505 | 250  | 0.0447          | 0.9875   | 0.9880 |
| 0.0316        | 35.1005 | 300  | 0.0426          | 0.9898   | 0.9902 |
| 0.0215        | 40.9506 | 350  | 0.0411          | 0.9890   | 0.9894 |
| 0.0158        | 46.8007 | 400  | 0.0438          | 0.9907   | 0.9911 |
| 0.0131        | 52.6508 | 450  | 0.0389          | 0.9913   | 0.9916 |
| 0.0108        | 58.5009 | 500  | 0.0352          | 0.9927   | 0.9930 |
| 0.0092        | 64.3510 | 550  | 0.0376          | 0.9922   | 0.9924 |
| 0.0075        | 70.2011 | 600  | 0.0416          | 0.9916   | 0.9919 |
| 0.0063        | 76.0512 | 650  | 0.0403          | 0.9927   | 0.9930 |
| 0.0052        | 81.9013 | 700  | 0.0426          | 0.9925   | 0.9927 |
| 0.0045        | 87.7514 | 750  | 0.0443          | 0.9919   | 0.9922 |
| 0.0035        | 93.6015 | 800  | 0.0456          | 0.9916   | 0.9919 |


### Framework versions

- Transformers 4.40.0
- Pytorch 2.4.1+cu121
- Datasets 3.1.0
- Tokenizers 0.19.1