README.md

metadata

license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - aslg_pc12
metrics:
  - bleu
model-index:
  - name: transformer_model
    results:
      - task:
          name: Sequence-to-sequence Language Modeling
          type: text2text-generation
        dataset:
          name: aslg_pc12
          type: aslg_pc12
          config: default
          split: train
          args: default
        metrics:
          - name: Bleu
            type: bleu
            value: 56.4281

transformer_model

This model is a fine-tuned version of t5-small on the aslg_pc12 dataset. It achieves the following results on the evaluation set:

• Loss: 0.5811
• Bleu: 56.4281
• Gen Len: 15.5526

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: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
1.094	1.0	4386	0.7098	50.634	15.6095
0.9099	2.0	8772	0.6072	55.2182	15.5592
0.8697	3.0	13158	0.5811	56.4281	15.5526

Framework versions

• Transformers 4.25.1
• Pytorch 1.13.0+cu116
• Datasets 2.8.0
• Tokenizers 0.13.2