---
library_name: transformers
license: apache-2.0
base_model: t5-base
tags:
- generated_from_trainer
model-index:
- name: t5-base-squad-qag-b
  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. -->

# t5-base-squad-qag-b

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: 16.4900

## 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- 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

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 15.4767       | 0.5714 | 1    | 19.7375         |
| 22.2253       | 1.5714 | 2    | 19.0585         |
| 21.1788       | 2.5714 | 3    | 18.5133         |
| 21.3016       | 3.5714 | 4    | 18.0134         |
| 20.3052       | 4.5714 | 5    | 17.5808         |
| 19.7086       | 5.5714 | 6    | 17.2109         |
| 19.4675       | 6.5714 | 7    | 16.9223         |
| 19.3453       | 7.5714 | 8    | 16.7059         |
| 18.5491       | 8.5714 | 9    | 16.5610         |
| 18.5816       | 9.5714 | 10   | 16.4900         |


### Framework versions

- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 3.3.0
- Tokenizers 0.21.0