---
language:
- en
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- aslg_pc12
metrics:
- bertscore
- bleu
- sacrebleu
- comet
- rouge
base_model: t5-small
pipeline_tag: translation
model-index:
- name: t5_small_gloss_to_text_random_0.1
  results:
  - task:
      type: translation
      name: Translation
    dataset:
      name: aslg_pc12
      type: aslg_pc12
      config: default
      split: train
    metrics:
    - type: bleu
      value: 68.0647
      name: BLEU
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNGMyZWQwN2ViODJmYTNiYmU1OGFkOGE3ZmZmNjQ5NmNjYzkyNTdiNzU3MmMxYTZiZWI5NTAzODVkYzExZjg2ZiIsInZlcnNpb24iOjF9.AZIXTYArPjmwjhIXLsfacpOmIihJL2RqAvmXjLGalFu6Iqx5i46aNSPZ2Tn0zNN0TqRgjt_KTcpN_MiAV6h1Aw
    - type: loss
      value: 0.3523485064506531
      name: loss
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiN2IxYWQ0NzhiY2JkNzhmMjYyYWRkYTVmODMyNWQ3OGVjNDQyNzNlN2Y3NTFhN2VmMTE5NTE2MWZjYmUxOGZjNyIsInZlcnNpb24iOjF9.1Chr1YqnkViAAyKXpMBe3eZsq16xaudA1v989DUNpYwMENGksv3DRJlUQSgL_xvWDqHRS8ioeNbMW5AHdYtSBA
    - type: gen_len
      value: 15.6202
      name: gen_len
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMDQ3ZDNlMDNiY2YzOTRlZWJhMmIxMGE4MmIzMDE2MjdhN2Q2ZTQwOGZkMWZiM2RjNGMwMGZiN2VkNmZmNDk1YiIsInZlcnNpb24iOjF9.a3wE9wToecpWMdf5QxgSRYuhqEzHBu86XhYNy-1NUKwi6bDH_uLfG-48Q-Fcss8w4QhLro5ObGA69nxkZQw7Ag
---

<!-- 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_to_text_random_0.1

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 2.1.0+cu121
- Datasets 2.14.5
- Tokenizers 0.14.1