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---
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
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