Edit model card
YAML Metadata Error: "datasets[0]" with value "KETI-AIR/aihub_koenzh_food_translation,KETI-AIR/aihub_scitech_translation,KETI-AIR/aihub_scitech20_translation,KETI-AIR/aihub_socialtech20_translation,KETI-AIR/aihub_spoken_language_translation" is not valid. If possible, use a dataset id from https://hf.co/datasets.
YAML Metadata Error: "model-index[0].results[0].dataset.type" with value "KETI-AIR/aihub_koenzh_food_translation,KETI-AIR/aihub_scitech_translation,KETI-AIR/aihub_scitech20_translation,KETI-AIR/aihub_socialtech20_translation,KETI-AIR/aihub_spoken_language_translation" fails to match the required pattern: /^(?:[\w-]+\/)?[\w-.]+$/

ko2en_bidirection2

This model is a fine-tuned version of KETI-AIR/long-ke-t5-base on the KETI-AIR/aihub_koenzh_food_translation,KETI-AIR/aihub_scitech_translation,KETI-AIR/aihub_scitech20_translation,KETI-AIR/aihub_socialtech20_translation,KETI-AIR/aihub_spoken_language_translation koen,none,none,none,none dataset. It achieves the following results on the evaluation set:

  • Loss: 0.5716
  • Bleu: 51.5949
  • Gen Len: 28.8348

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
  • distributed_type: multi-GPU
  • num_devices: 8
  • total_train_batch_size: 128
  • total_eval_batch_size: 128
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3.0

Training results

Training Loss Epoch Step Validation Loss Bleu Gen Len
0.7004 1.0 187524 0.6461 28.0622 17.8368
0.6176 2.0 375048 0.5967 29.3033 17.8281
0.5642 3.0 562572 0.5716 30.0045 17.8366

Framework versions

  • Transformers 4.25.1
  • Pytorch 1.12.0
  • Datasets 2.8.0
  • Tokenizers 0.13.2
Downloads last month
607
Safetensors
Model size
297M params
Tensor type
F32
·

Finetuned from

Spaces using KETI-AIR-Downstream/long-ke-t5-base-translation-aihub-bidirection 11

Evaluation results

Model card error

This model's model-index metadata is invalid: Schema validation error. "model-index[0].results[0].dataset.type" with value "KETI-AIR/aihub_koenzh_food_translation,KETI-AIR/aihub_scitech_translation,KETI-AIR/aihub_scitech20_translation,KETI-AIR/aihub_socialtech20_translation,KETI-AIR/aihub_spoken_language_translation" fails to match the required pattern: /^(?:[\w-]+\/)?[\w-.]+$/