---
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
metrics:
- bleu
- wer
model-index:
- name: randomization_model_new
  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_new

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.5559
- Bleu: 0.0
- Wer: 0.9616
- Rougel: 0.1052
- Gen Len: 19.0

## 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: 20
- eval_batch_size: 20
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu | Wer    | Rougel | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:----:|:------:|:------:|:-------:|
| 3.4449        | 0.4   | 100  | 2.9554          | 0.0  | 0.9649 | 0.0961 | 18.99   |
| 3.2957        | 0.8   | 200  | 2.7974          | 0.0  | 0.964  | 0.0989 | 18.984  |
| 3.1923        | 1.2   | 300  | 2.6976          | 0.0  | 0.9629 | 0.1013 | 18.9945 |
| 3.1268        | 1.6   | 400  | 2.6331          | 0.0  | 0.9626 | 0.1025 | 18.9985 |
| 3.0741        | 2.0   | 500  | 2.5914          | 0.0  | 0.962  | 0.104  | 18.997  |
| 3.0514        | 2.4   | 600  | 2.5671          | 0.0  | 0.9616 | 0.105  | 18.997  |
| 3.0312        | 2.8   | 700  | 2.5559          | 0.0  | 0.9616 | 0.1052 | 19.0    |


### Framework versions

- Transformers 4.41.0
- Pytorch 2.3.0
- Datasets 2.19.1
- Tokenizers 0.19.1