---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- aslg_pc12
metrics:
- bleu
- sacrebleu
- bertscore
base_model: t5-small
pipeline_tag: translation
model-index:
- name: t5_small_gloss_merged_dataset_adj_adv
  results:
  - task:
      type: translation
      name: Translation
    dataset:
      name: aslg_pc12
      type: aslg_pc12
      config: default
      split: train
    metrics:
    - type: bleu
      value: 68.5164
      name: BLEU
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMGQ1ODlhZmY5N2I1MGYzN2MxY2YyOGQ3ODQyZmY5NTc0ZjFhNzE5NmI2OWJhYWM2ZmZhM2JkY2M5OGIyYzhjMyIsInZlcnNpb24iOjF9.PERo2wMlxYXury7dT-9GOW_FPDlwN2aJSpvvEe122D4dWeRekfb8OqCxT-5xm9M6jXs_-UZQIcvOlSXuSS1YDA
    - type: loss
      value: 0.33915433287620544
      name: loss
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNTRiNmFlZTU1YjE0ZWJiYzQ2MjljZDBmODg1Nzg0MDQyM2Y3ZTJlMWFlMTcyZjYzZTBhNzY1ZjBiYjIxZTIyMSIsInZlcnNpb24iOjF9.YO6wVCBAhvDA1EeuoAUJLLLg3AIkrFhCGw4E8uqHzRXKIZQOvgeEUoUP5LXfq5vuzMmb93bhXoIxvdfNhKkbAw
    - type: gen_len
      value: 15.5783
      name: gen_len
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNDViZTE5NmY2OWJjNDFjOTRkZDQwOGZmMmY1OGQzOTU0OWI5Y2RjMGMyYzQ5MDVlYTZjZWU1ZGI2NmI2NTBjYyIsInZlcnNpb24iOjF9.K4k2lCYC4jIa-zm7lWf9tymABXu6VrJrHP9HVIjHDcgY0DLiAI_IdiByWFLtYC1cyppL98BG_9SYs5RkJvi7Ag
---

<!-- 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_gloss_merged_dataset_adj_adv

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown 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