---
license: apache-2.0
base_model: t5-base
tags:
- generated_from_trainer
model-index:
- name: t-5_base_test_1
  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. -->

# t-5_base_test_1

This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2275

## 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: 6
- eval_batch_size: 6
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 0.13  | 250  | 1.3344          |
| 1.793         | 0.27  | 500  | 1.2824          |
| 1.793         | 0.4   | 750  | 1.2598          |
| 1.3637        | 0.53  | 1000 | 1.2439          |
| 1.3637        | 0.66  | 1250 | 1.2370          |
| 1.3241        | 0.8   | 1500 | 1.2305          |
| 1.3241        | 0.93  | 1750 | 1.2275          |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2