README.md

metadata

license: apache-2.0
base_model: Helsinki-NLP/opus-mt-en-ro
tags:
  - generated_from_trainer
metrics:
  - bleu
model-index:
  - name: opus-mt-en-ro-finetuned-en-to-ro
    results: []

opus-mt-en-ro-finetuned-en-to-ro

This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-ro on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.4095
• Bleu: 26.3441
• Gen Len: 34.093

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

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
No log	1.0	313	0.4031	26.665	33.886
0.1065	2.0	626	0.4074	26.3571	34.178
0.1065	3.0	939	0.4095	26.3441	34.093

Framework versions

• Transformers 4.35.2
• Pytorch 2.1.0+cu121
• Datasets 2.17.0
• Tokenizers 0.15.2