sorsolingo-mt-en-bsl-test
This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-bcl on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 4.5125
- eval_bleu: 25.1133
- eval_runtime: 24.4132
- eval_samples_per_second: 33.465
- eval_steps_per_second: 0.532
- epoch: 19.0
- step: 1957
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: 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: 80
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.40.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
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Model tree for dapooni/sorsolingo-mt-en-bsl-test
Base model
Helsinki-NLP/opus-mt-en-bcl