---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- aslg_pc12
metrics:
- bleu
model-index:
- name: transformer_model
  results:
  - task:
      name: Sequence-to-sequence Language Modeling
      type: text2text-generation
    dataset:
      name: aslg_pc12
      type: aslg_pc12
      config: default
      split: train
      args: default
    metrics:
    - name: Bleu
      type: bleu
      value: 56.4281
---

<!-- 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. -->

# transformer_model

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the aslg_pc12 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5811
- Bleu: 56.4281
- Gen Len: 15.5526

## 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
- 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    | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
| 1.094         | 1.0   | 4386  | 0.7098          | 50.634  | 15.6095 |
| 0.9099        | 2.0   | 8772  | 0.6072          | 55.2182 | 15.5592 |
| 0.8697        | 3.0   | 13158 | 0.5811          | 56.4281 | 15.5526 |


### Framework versions

- Transformers 4.25.1
- Pytorch 1.13.0+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2