mt-bs-sv-finetuned
This model is a fine-tuned version of oskarandrsson/mt-hr-sv-finetuned on the None dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.8217
- eval_bleu: 53.9611
- eval_runtime: 601.8995
- eval_samples_per_second: 15.971
- eval_steps_per_second: 3.994
- epoch: 4.0
- step: 14420
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-06
- train_batch_size: 24
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.25.0.dev0
- Pytorch 1.13.0+cu117
- Datasets 2.6.1
- Tokenizers 0.13.1
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