---
license: apache-2.0
base_model: t5-3b
tags:
- generated_from_trainer
datasets:
- squad
model-index:
- name: t5_3b_epoch_10
  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_10

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: 1.0960

## 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: 10.0

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.147         | 1.0   | 342  | 1.0960          |
| 0.9928        | 2.0   | 684  | 1.1021          |
| 0.861         | 3.0   | 1026 | 1.1422          |
| 0.7545        | 4.0   | 1368 | 1.2032          |
| 0.6504        | 5.0   | 1710 | 1.2719          |
| 0.5708        | 6.0   | 2053 | 1.3405          |
| 0.5077        | 7.0   | 2395 | 1.4169          |
| 0.452         | 8.0   | 2737 | 1.4925          |
| 0.4063        | 9.0   | 3079 | 1.5488          |
| 0.3863        | 9.99  | 3420 | 1.5926          |


### Framework versions

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