opus-en-pl-finetuning-opus

This model is a fine-tuned version of gsarti/opus-mt-tc-en-pl on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 7.2294
• Bleu: 0.0036
• Gen Len: 454.3333

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: 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: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
No log	1.0	142	7.4991	0.0088	401.7407
No log	2.0	284	7.2294	0.0036	454.3333

Framework versions

• Transformers 4.38.2
• Pytorch 2.0.1
• Datasets 2.18.0
• Tokenizers 0.15.2