---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: finetuning_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. -->

# finetuning_t5

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: 0.2795

## 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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.3628        | 1.0   | 444  | 0.2424          |
| 0.2569        | 2.0   | 889  | 0.2220          |
| 0.3852        | 3.0   | 1333 | 0.2854          |
| 0.4332        | 4.0   | 1778 | 0.2795          |
| 0.4322        | 5.0   | 2222 | 0.2794          |
| 0.4276        | 6.0   | 2667 | 0.2794          |
| 0.4275        | 7.0   | 3111 | 0.2794          |
| 0.4269        | 8.0   | 3556 | 0.2795          |
| 0.429         | 9.0   | 4001 | 0.2795          |
| 0.4308        | 9.99  | 4440 | 0.2795          |


### Framework versions

- Transformers 4.30.1
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3