README.md

metadata

license: apache-2.0
base_model: t5-small
tags:
  - generated_from_trainer
datasets:
  - opus100
metrics:
  - bleu
model-index:
  - name: GenzTranscribe-en-gu
    results:
      - task:
          name: Sequence-to-sequence Language Modeling
          type: text2text-generation
        dataset:
          name: opus100
          type: opus100
          config: en-gu
          split: train
          args: en-gu
        metrics:
          - name: Bleu
            type: bleu
            value: 59.9227

GenzTranscribe-en-gu

This model is a fine-tuned version of t5-small on the opus100 dataset. It achieves the following results on the evaluation set:

• Loss: 0.3075
• Bleu: 59.9227
• Gen Len: 9.6443

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: 2e-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: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
0.3593	1.0	31831	0.3253	58.1921	9.7108
0.3421	2.0	63662	0.3075	59.9227	9.6443

Framework versions

• Transformers 4.31.0
• Pytorch 2.0.1+cu118
• Datasets 2.14.1
• Tokenizers 0.13.3