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t5_small_aslg_pc12

Translation
Transformers
PyTorch
t5
text2text-generation
generated_from_trainer
Eval Results
Inference Endpoints
text-generation-inference
Model card Files Community
3
t5_small_aslg_pc12
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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
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    - type: loss
      value: 0.2336091846227646
      name: loss
      verified: true
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    - type: gen_len
      value: 15.4908
      name: gen_len
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMzk3MmNkNDUxOGRjNmQxZDhjNGM4N2Y0NjFhMWQyOTViMjU3NzRiMTJiMzAwZjFkZjkxMTg0YzY4MTZkNjBjZiIsInZlcnNpb24iOjF9.QIx8UAWOLibfiqNhWP3e4m69rMOzrGhk4iRH2rdwN8NEFUGDJnHrnruhD6qU7doc7W770GCFOo0ZxUV01V7xDQ
train-eval-index:
- config: default
  task: translation
  task_id: translation
  splits:
    eval_split: train
  col_mapping:
    gloss: source
    text: target
---

<!-- 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