Edit model card

mbartLarge_koja_37p

This model is a fine-tuned version of facebook/mbart-large-50-many-to-many-mmt on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.8995
  • Bleu: 6.2934
  • Gen Len: 17.4862

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: 4
  • eval_batch_size: 4
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 4
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 32
  • total_eval_batch_size: 16
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 1500
  • num_epochs: 35

Training results

Training Loss Epoch Step Validation Loss Bleu Gen Len
1.2712 0.48 5500 1.2204 3.0858 18.1085
1.0946 0.97 11000 1.0578 3.3162 17.8651
0.9546 1.45 16500 0.9688 5.6024 17.902
0.89 1.94 22000 0.9414 5.1453 17.6144
0.834 2.42 27500 0.9213 5.3985 17.6899
0.7439 2.91 33000 0.8995 6.2934 17.4862
0.6803 3.39 38500 0.9016 6.3565 17.8899
0.733 3.88 44000 0.9226 7.0351 17.6112
0.6601 4.36 49500 0.9807 5.3084 17.4292
0.6933 4.84 55000 0.9238 6.8389 17.5131

Framework versions

  • Transformers 4.34.1
  • Pytorch 2.1.0+cu121
  • Datasets 2.14.6
  • Tokenizers 0.14.1
Downloads last month
5
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Model tree for yesj1234/koja_mbartLarge_exp1

Finetuned
(100)
this model