---
license: apache-2.0
base_model: google/t5-v1_1-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: gamblingspam-t5
  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. -->

# gamblingspam-t5

This model is a fine-tuned version of [google/t5-v1_1-base](https://huggingface.co/google/t5-v1_1-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6656
- Accuracy: 0.935

## 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: 2e-06
- 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: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 50   | 0.6675          | 0.935    |
| No log        | 2.0   | 100  | 0.6661          | 0.935    |
| No log        | 3.0   | 150  | 0.6656          | 0.935    |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0