---
license: apache-2.0
base_model: t5-base
tags:
- generated_from_trainer
metrics:
- bleu
- wer
model-index:
- name: randomization_model
  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. -->

# randomization_model

This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2766
- Bleu: 0.0001
- Wer: 0.9507
- Rougel: 0.1324
- Gen Len: 18.9988

## 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: 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: 2
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Bleu   | Wer    | Rougel | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:-------:|
| 1.6112        | 0.16  | 1000  | 1.2949          | 0.0001 | 0.9506 | 0.1323 | 18.9988 |
| 1.5684        | 0.32  | 2000  | 1.2655          | 0.0001 | 0.9503 | 0.1328 | 18.9988 |
| 1.5378        | 0.48  | 3000  | 1.2461          | 0.0001 | 0.95   | 0.1334 | 18.9985 |
| 1.5183        | 0.64  | 4000  | 1.2246          | 0.0001 | 0.95   | 0.1334 | 18.9985 |
| 1.5065        | 0.8   | 5000  | 1.2108          | 0.0001 | 0.9499 | 0.1336 | 18.9985 |
| 1.4787        | 0.96  | 6000  | 1.1975          | 0.0001 | 0.9498 | 0.1338 | 18.9986 |
| 1.5081        | 1.12  | 7000  | 1.2173          | 0.0001 | 0.9498 | 0.134  | 18.9986 |
| 1.6302        | 1.28  | 8000  | 1.2801          | 0.0001 | 0.9507 | 0.1325 | 18.9988 |
| 1.6337        | 1.44  | 9000  | 1.2766          | 0.0001 | 0.9507 | 0.1324 | 18.9988 |
| 1.6333        | 1.6   | 10000 | 1.2766          | 0.0001 | 0.9507 | 0.1324 | 18.9988 |
| 1.6246        | 1.76  | 11000 | 1.2766          | 0.0001 | 0.9507 | 0.1324 | 18.9988 |
| 1.6219        | 1.92  | 12000 | 1.2766          | 0.0001 | 0.9507 | 0.1324 | 18.9988 |


### Framework versions

- Transformers 4.37.1
- Pytorch 2.3.0.dev20240122+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1