metadata

license: apache-2.0
base_model: Helsinki-NLP/opus-mt-en-fr
tags:
  - generated_from_trainer
datasets:
  - kde4
model-index:
  - name: marian-finetuned-kde4-en-to-fr
    results: []

marian-finetuned-kde4-en-to-fr

This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-fr on the kde4 dataset. It achieves the following results on the evaluation set:

eval_loss: 0.9633
eval_bleu: 49.9655
eval_runtime: 162.904
eval_samples_per_second: 12.903
eval_steps_per_second: 0.203
epoch: 0.0
step: 4

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: 64
eval_batch_size: 64
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1

Framework versions

Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2