opus-mt-en-bkm-Final-37 – AI Model by kalese | AlphaNeural AI

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kalese/
opus-mt-en-bkm-Final-37

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text2text-generation

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Helsinki-NLP/opus-mt-en-ro

endpoints_compatible

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opus-mt-en-bkm-Final-37

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

Loss: 2.1287
Bleu: 0.8035
Gen Len: 8.152

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

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
No log	1.0	364	2.7636	1.8891	7.3867
3.6413	2.0	728	2.4732	1.2427	7.7232
2.5061	3.0	1092	2.3356	0.2297	8.558
2.5061	4.0	1456	2.2540	0.4676	8.8199
2.212	5.0	1820	2.2023	0.4941	9.0923
2.0058	6.0	2184	2.1658	0.665	8.627
1.8426	7.0	2548	2.1516	0.7263	8.4051
1.8426	8.0	2912	2.1404	0.7423	8.3173
1.7227	9.0	3276	2.1323	0.7364	8.3373
1.6471	10.0	3640	2.1287	0.8035	8.152

Framework versions

Transformers 4.39.3
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2