---
license: apache-2.0
base_model: google/t5-v1_1-small
tags:
- generated_from_trainer
model-index:
- name: T5_1_mrqa_v1
  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. -->

[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/favcowboy/huggingface/runs/j31c1si7)
# T5_1_mrqa_v1

This model is a fine-tuned version of [google/t5-v1_1-small](https://huggingface.co/google/t5-v1_1-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.7981

## 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
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 9

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 10.3869       | 1.0   | 500  | 4.9828          |
| 6.7903        | 2.0   | 1000 | 3.4878          |
| 5.8096        | 3.0   | 1500 | 3.1873          |
| 5.2496        | 4.0   | 2000 | 3.0379          |
| 4.9384        | 5.0   | 2500 | 2.9406          |
| 4.6901        | 6.0   | 3000 | 2.8722          |
| 4.5321        | 7.0   | 3500 | 2.8254          |
| 4.4324        | 8.0   | 4000 | 2.8045          |
| 4.3835        | 9.0   | 4500 | 2.7981          |


### Framework versions

- Transformers 4.42.0.dev0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1