---
license: apache-2.0
base_model: t5-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: layer_1_classifier_google
  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. -->

# layer_1_classifier_google

This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4568
- Accuracy: 0.9022

## 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-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 2    | 0.5103          | 1.0      |
| No log        | 2.0   | 4    | 0.4784          | 1.0      |
| No log        | 3.0   | 6    | 0.4533          | 1.0      |
| No log        | 4.0   | 8    | 0.4340          | 1.0      |
| No log        | 5.0   | 10   | 0.4168          | 1.0      |
| No log        | 6.0   | 12   | 0.4040          | 1.0      |
| No log        | 7.0   | 14   | 0.3956          | 1.0      |
| No log        | 8.0   | 16   | 0.3921          | 1.0      |


### Framework versions

- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3