fine_tuned_modelsFinal_1

This model is a fine-tuned version of facebook/m2m100_418M on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.1062

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: 5e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• training_steps: 1728

Training results

Training Loss	Epoch	Step	Validation Loss
0.5362	18.35	500	0.1206
0.0438	36.7	1000	0.1025
0.0205	55.05	1500	0.1122

Framework versions

• Transformers 4.35.2
• Pytorch 2.1.0+cu118
• Tokenizers 0.15.0