README.md

metadata

base_model: Helsinki-NLP/opus-mt-pl-en
datasets:
  - kde4
library_name: transformers
license: apache-2.0
tags:
  - translation
  - generated_from_trainer
model-index:
  - name: Merian-Finetuned-kde4-en-to-pl
    results: []

Merian-Finetuned-kde4-en-to-pl

This model is a fine-tuned version of Helsinki-NLP/opus-mt-pl-en on the kde4 dataset.

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: 32
• eval_batch_size: 64
• 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

Framework versions

• Transformers 4.44.2
• Pytorch 2.4.1+cu121
• Datasets 3.0.1
• Tokenizers 0.19.1