fine_tuned_modelsNew

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: 0.0970

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: 2780

Training results

Training Loss	Epoch	Step	Validation Loss
0.5467	14.29	500	0.1427
0.0527	28.57	1000	0.1012
0.0272	42.86	1500	0.1052
0.0163	57.14	2000	0.0984
0.0106	71.43	2500	0.0943

Framework versions

• Transformers 4.35.1
• Pytorch 2.1.0+cu118
• Tokenizers 0.14.1