---
license: apache-2.0
base_model: google/umt5-base
tags:
- generated_from_trainer
model-index:
- name: umt5-bcoqa
  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. -->

# umt5-bcoqa

This model is a fine-tuned version of [google/umt5-base](https://huggingface.co/google/umt5-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.2095

## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 3.4388        | 0.2   | 2500  | 2.5847          |
| 2.9502        | 0.4   | 5000  | 2.3387          |
| 2.8027        | 0.6   | 7500  | 2.2562          |
| 2.6951        | 0.8   | 10000 | 2.2095          |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.1.1+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1