model-spanglish

This model is a fine-tuned version of drewcurran/translation_model on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 1.5595
• Bleu: 5.861
• Gen Len: 17.8

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
2.3242	1.0	10	1.8794	1.372	18.4
2.2034	2.0	20	1.7643	1.8888	18.125
2.0818	3.0	30	1.6884	2.1152	18.125
2.0447	4.0	40	1.6408	2.0966	17.925
1.9457	5.0	50	1.6089	2.286	17.925
1.9454	6.0	60	1.5881	2.3929	17.95
1.8906	7.0	70	1.5756	2.4497	17.95
1.8829	8.0	80	1.5669	4.2201	18.025
1.8483	9.0	90	1.5613	5.861	17.8
1.8454	10.0	100	1.5595	5.861	17.8

Framework versions

• Transformers 4.40.1
• Pytorch 2.2.1+cu121
• Datasets 2.19.1
• Tokenizers 0.19.1