transformers pytorch t5 text2text-generation generated_from_trainer translation dataset:aslg_pc12 base_model:google-t5/t5-small base_model:finetune:google-t5/t5-small license:apache-2.0 model-index autotrain_compatible text-generation-inference endpoints_compatible region:us
---
base_model: t5-small
datasets:
- aslg_pc12
license: apache-2.0
metrics:
- bertscore
- bleu
- comet
- rouge
pipeline_tag: translation
tags:
- generated_from_trainer
model-index:
- name: t5_small_gloss_merged_dataset
  results:
  - task:
      type: translation
      name: Translation
    dataset:
      name: aslg_pc12
      type: aslg_pc12
      config: default
      split: train
    metrics:
    - type: bleu
      value: 68.9182
      name: BLEU
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiOWZiYmFkMDNmMTFhMmU2MzAxYTEzMWQ3NmRiNGRjNzI2OTg2NjMxNTcxYjRkOTg0M2E4MzkzNDU4MjZiNTI3OSIsInZlcnNpb24iOjF9.GHJA10A5JW8Y4nCy9w46YQZGuh6BXnHLEWC-_Y5Vb1EfHcXBt7aQr2gArDcfrW-epJSXpiDk-A8DpNnG0HSSAQ
    - type: loss
      value: 0.33368241786956787
      name: loss
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZThjOTg3ZmRmZjVhMGM2ZjY0ZGRhYjc4ZGQ1NTFlZWU4YTkzZjJiMGYwMGEzYjY3ZTVhYTNmMzczZmFhYjIyZCIsInZlcnNpb24iOjF9.Da4BqQhCXMhubGfPVbqPZzZU3Y-FByXA6mgy0u31u_SsqKSnGqS-C0TIF81wdpVUBYciu3BboqpefDtC5HYrBg
    - type: gen_len
      value: 15.6225
      name: gen_len
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNTBkZWU4MzdhMjY0N2ViZTkwMjM5NmZlYTJkYzk4YTk3ODk3ODRlOTE0NjdmMmQzMjBhYmVjODU3N2E5YTNiYyIsInZlcnNpb24iOjF9.jVgLJiZJR66wWio2V3aCKp-L_LkOF14VV1XxCLb79GWU3CJZucMJorA6mmofP9rOSqh92ZfkaFUJ_ScqjNHwCg
---

<!-- 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

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