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---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- aslg_pc12
metrics:
- bertscore
- bleu
- comet
- rouge
base_model: t5-small
pipeline_tag: translation
model-index:
- name: t5_small_aslg_pc12
results:
- task:
type: translation
name: Translation
dataset:
name: aslg_pc12
type: aslg_pc12
config: default
split: train
metrics:
- type: bleu
value: 73.8405
name: BLEU
verified: true
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYzM4ODViYTVlYjVjZjUwNzI2YzM4YTYxMjBlZjIxNWI2YjNmM2RkOWU1NGU3NTZlYWYxNDU3YjRlNzFmNWQ4MCIsInZlcnNpb24iOjF9.KNo-oNa4YBfVvNzs7-x5b2-J1MThZX9lgztxklJVR7uwrRMvNnJb32mThwK_4Ge_WqPcy-zFHEeF6mCKZ-QWCA
- type: loss
value: 0.2336091846227646
name: loss
verified: true
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNGZlMDZlMzYxNWUzNjk0ZmM4MDg0YTc1YjUyYjcyMTJmMTQxNmVlOTAxZGU3MTY1M2FjZDBhMmIwYzQwMmIwMyIsInZlcnNpb24iOjF9.PEWz-fUp1QjRztcRLHhmInmEGbTefHq-6a9M4HUh7Krdd1Ih8aoWoMdZE8-CCKy_zS6vhZFLUbWocaJw8TH0BA
- type: gen_len
value: 15.4908
name: gen_len
verified: true
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMzk3MmNkNDUxOGRjNmQxZDhjNGM4N2Y0NjFhMWQyOTViMjU3NzRiMTJiMzAwZjFkZjkxMTg0YzY4MTZkNjBjZiIsInZlcnNpb24iOjF9.QIx8UAWOLibfiqNhWP3e4m69rMOzrGhk4iRH2rdwN8NEFUGDJnHrnruhD6qU7doc7W770GCFOo0ZxUV01V7xDQ
---
<!-- 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. -->
# t5_small_aslg_pc12
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the aslg_pc12 dataset.
## 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: 3.0
### Training results
### Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1 |