easyword_model

This model is a fine-tuned version of facebook/nllb-200-distilled-600M on the None dataset. It achieves the following results on the evaluation set:

• Loss: 2.7704
• Bleu: 9.5346
• Gen Len: 6.2609

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
No log	1.0	31	3.4204	4.1421	6.7329
No log	2.0	62	3.2154	4.8111	5.9255
No log	3.0	93	3.1073	5.8324	5.9317
No log	4.0	124	3.0242	8.0401	5.8944
No log	5.0	155	2.9829	5.0246	6.0435
No log	6.0	186	2.9363	8.2048	5.9752
No log	7.0	217	2.9103	5.9443	6.0186
No log	8.0	248	2.8834	6.0896	6.0373
No log	9.0	279	2.8792	6.0346	6.0621
No log	10.0	310	2.8772	6.0639	6.0497

Framework versions

• Transformers 4.29.2
• Pytorch 2.0.1+cu117
• Datasets 2.12.0
• Tokenizers 0.13.3