opus-mt-en-es-finetuned-es-to-maq-v2 – AI Model by mekjr1 | AlphaNeural AI

You can deploy this model and start earning money today!

mekjr1/
opus-mt-en-es-finetuned-es-to-maq-v2

like

0

text2text-generation

generated_from_trainer

Helsinki-NLP/opus-mt-en-es

endpoints_compatible

Views

No views yet

opus-mt-en-es-finetuned-es-to-maq-v2

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

Loss: 1.7424
Bleu: 7.2893
Gen Len: 88.7368

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: 32
eval_batch_size: 32
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	199	2.3492	2.8829	112.5101
No log	2.0	398	2.0881	4.6067	91.5164
2.6444	3.0	597	1.9612	5.3841	93.9332
2.6444	4.0	796	1.8841	5.7548	90.3476
2.6444	5.0	995	1.8330	6.1233	87.9055
1.9708	6.0	1194	1.7965	6.7074	91.0063
1.9708	7.0	1393	1.7734	6.9091	89.267
1.8266	8.0	1592	1.7564	7.0616	88.6272
1.8266	9.0	1791	1.7456	7.1479	89.2531
1.8266	10.0	1990	1.7424	7.2893	88.7368

Framework versions

Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3