README.md

metadata

license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - opus100
metrics:
  - bleu
model-index:
  - name: my_awesome_opus100_model
    results:
      - task:
          name: Sequence-to-sequence Language Modeling
          type: text2text-generation
        dataset:
          name: opus100
          type: opus100
          config: en-ko
          split: train
          args: en-ko
        metrics:
          - name: Bleu
            type: bleu
            value: 0

my_awesome_opus100_model

This model is a fine-tuned version of KETI-AIR-Downstream/long-ke-t5-base-translation-aihub-en2ko on the opus100 dataset. It achieves the following results on the evaluation set:

• Loss: nan
• Bleu: 0.0
• Gen Len: 0.0

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: 0.001
• 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

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
No log	1.0	250	nan	2.9676	12.146
2.5985	2.0	500	nan	0.0	0.0
2.5985	3.0	750	nan	0.0	0.0

Framework versions

• Transformers 4.30.2
• Pytorch 2.0.1+cu118
• Datasets 2.13.0
• Tokenizers 0.13.3