nmt_v0random_head10k
This model is a fine-tuned version of Helsinki-NLP/opus-mt-tc-big-tr-en on the None dataset. It achieves the following results on the evaluation set:
- eval_loss: 1.4075
- eval_bleu: 29.7605
- eval_runtime: 574.622
- eval_samples_per_second: 5.233
- eval_steps_per_second: 2.617
- step: 0
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: 2
- eval_batch_size: 2
- 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
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu118
- Datasets 2.4.0
- Tokenizers 0.19.1
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Model tree for basakdemirok/nmt_v0random_head10k
Base model
Helsinki-NLP/opus-mt-tc-big-tr-en