---
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: Testing-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. -->

# Testing-t5

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3656

## 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: 1e-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: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 282  | 0.4660          |
| 0.5546        | 2.0   | 564  | 0.4258          |
| 0.5546        | 3.0   | 846  | 0.4089          |
| 0.4368        | 4.0   | 1128 | 0.3977          |
| 0.4368        | 5.0   | 1410 | 0.3911          |
| 0.4116        | 6.0   | 1692 | 0.3860          |
| 0.4116        | 7.0   | 1974 | 0.3812          |
| 0.3957        | 8.0   | 2256 | 0.3783          |
| 0.3872        | 9.0   | 2538 | 0.3754          |
| 0.3872        | 10.0  | 2820 | 0.3736          |
| 0.3806        | 11.0  | 3102 | 0.3717          |
| 0.3806        | 12.0  | 3384 | 0.3707          |
| 0.3737        | 13.0  | 3666 | 0.3691          |
| 0.3737        | 14.0  | 3948 | 0.3682          |
| 0.3693        | 15.0  | 4230 | 0.3675          |
| 0.367         | 16.0  | 4512 | 0.3667          |
| 0.367         | 17.0  | 4794 | 0.3662          |
| 0.3655        | 18.0  | 5076 | 0.3659          |
| 0.3655        | 19.0  | 5358 | 0.3657          |
| 0.3605        | 20.0  | 5640 | 0.3656          |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1