greek-m2m100-4ep-384

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

• Loss: 1.2998

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: 0.0001
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 16
• total_train_batch_size: 128
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss
1.8998	0.67	100	1.4131
1.3718	1.35	200	1.3527
1.2555	2.03	300	1.3175
1.1075	2.7	400	1.3090
1.0501	3.38	500	1.2998

Framework versions

• Transformers 4.27.0.dev0
• Pytorch 1.13.0
• Datasets 2.1.0
• Tokenizers 0.13.2