Edit model card

my_awesome_opus_books_model

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

  • Loss: 0.4232
  • Bleu: 25.6283
  • Gen Len: 33.8077

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: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 2

Training results

Training Loss Epoch Step Validation Loss Bleu Gen Len
0.4627 1.0 2542 0.4327 25.2902 33.8224
0.4294 2.0 5084 0.4232 25.6283 33.8077

Framework versions

  • Transformers 4.31.0
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.4
  • Tokenizers 0.13.3
Downloads last month
29
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 yasmineelabbar/my_awesome_opus_books_model

Finetuned
(271)
this model

Dataset used to train yasmineelabbar/my_awesome_opus_books_model

Evaluation results