opus-mt-tr-en-finetuned-az-to-en

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

• Loss: nan
• Bleu: 0.0002
• Gen Len: 511.0

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: 0.2
• train_batch_size: 16
• eval_batch_size: 16
• 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

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
No log	1.0	38	nan	0.0002	511.0
No log	2.0	76	nan	0.0002	511.0
No log	3.0	114	nan	0.0002	511.0
No log	4.0	152	nan	0.0002	511.0
No log	5.0	190	nan	0.0002	511.0
No log	6.0	228	nan	0.0002	511.0
No log	7.0	266	nan	0.0002	511.0
No log	8.0	304	nan	0.0002	511.0
No log	9.0	342	nan	0.0002	511.0
No log	10.0	380	nan	0.0002	511.0

Framework versions

• Transformers 4.19.2
• Pytorch 1.11.0+cu113
• Datasets 2.2.1
• Tokenizers 0.12.1