toki-en-mt

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

• Loss: 1.2840
• Bleu: 26.7612
• Gen Len: 9.0631

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: 10
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
1.7228	1.0	1260	1.4572	19.9464	9.2177
1.3182	2.0	2520	1.3356	22.4628	9.1263
1.1241	3.0	3780	1.3028	23.5152	9.0462
0.9995	4.0	5040	1.2784	23.9526	9.1697
0.8945	5.0	6300	1.2739	24.7707	9.0914
0.8331	6.0	7560	1.2725	25.3477	9.0518
0.7641	7.0	8820	1.2770	26.165	9.0245
0.7163	8.0	10080	1.2809	25.8053	9.0933
0.6886	9.0	11340	1.2799	26.5752	9.0669
0.6627	10.0	12600	1.2840	26.7612	9.0631

Framework versions

• Transformers 4.20.1
• Pytorch 1.11.0
• Datasets 2.3.2
• Tokenizers 0.12.1