---
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
model-index:
- name: FingerFriend-t5-small
  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. -->

# FingerFriend-t5-small

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7464

## 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: 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: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.6293        | 1.0   | 171  | 1.1671          |
| 1.195         | 2.0   | 342  | 1.0246          |
| 1.085         | 3.0   | 513  | 0.9553          |
| 1.0207        | 4.0   | 684  | 0.9096          |
| 0.9631        | 5.0   | 855  | 0.8782          |
| 0.9283        | 6.0   | 1026 | 0.8445          |
| 0.8987        | 7.0   | 1197 | 0.8352          |
| 0.8716        | 8.0   | 1368 | 0.8123          |
| 0.8556        | 9.0   | 1539 | 0.7983          |
| 0.8375        | 10.0  | 1710 | 0.7923          |
| 0.8239        | 11.0  | 1881 | 0.7757          |
| 0.8184        | 12.0  | 2052 | 0.7716          |
| 0.8053        | 13.0  | 2223 | 0.7642          |
| 0.7929        | 14.0  | 2394 | 0.7647          |
| 0.7867        | 15.0  | 2565 | 0.7597          |
| 0.7817        | 16.0  | 2736 | 0.7529          |
| 0.7751        | 17.0  | 2907 | 0.7506          |
| 0.7705        | 18.0  | 3078 | 0.7472          |
| 0.7657        | 19.0  | 3249 | 0.7467          |
| 0.7665        | 20.0  | 3420 | 0.7464          |


### Framework versions

- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3