---
license: apache-2.0
base_model: t5-3b
tags:
- generated_from_trainer
datasets:
- squad
model-index:
- name: t5_3b_epoch_3_qa
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# t5_3b_epoch_3_qa

This model is a fine-tuned version of [t5-3b](https://huggingface.co/t5-3b) on the squad dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2233

## 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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.2003        | 1.0   | 342  | 0.2233          |
| 0.1331        | 2.0   | 684  | 0.2397          |
| 0.0971        | 3.0   | 1026 | 0.2671          |


### Framework versions

- Transformers 4.32.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3