---
library_name: transformers
license: apache-2.0
base_model: t5-base
tags:
- generated_from_trainer
model-index:
- name: confidence-feedback
  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. -->

# confidence-feedback

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: 1.9663

## 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.5697        | 1.0   | 201  | 2.3225          |
| 2.3371        | 2.0   | 402  | 2.1718          |
| 2.1322        | 3.0   | 603  | 2.1028          |
| 1.9953        | 4.0   | 804  | 2.0633          |
| 1.9157        | 5.0   | 1005 | 2.0371          |
| 1.8617        | 6.0   | 1206 | 2.0340          |
| 1.7933        | 7.0   | 1407 | 2.0254          |
| 1.7534        | 8.0   | 1608 | 2.0297          |
| 1.6639        | 9.0   | 1809 | 2.0330          |
| 1.6649        | 10.0  | 2010 | 2.0324          |


### Framework versions

- Transformers 4.54.1
- Pytorch 2.6.0+cu124
- Datasets 4.0.0
- Tokenizers 0.21.4