mbart-large-50-many-to-many-mmt-finetuned-human-to-assistant

This model is a fine-tuned version of facebook/mbart-large-50-many-to-many-mmt on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.5715

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: 3e-05
• train_batch_size: 4
• eval_batch_size: 4
• 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
No log	1.0	18	0.6943
No log	2.0	36	0.6172
No log	3.0	54	0.5725
No log	4.0	72	0.5771
No log	5.0	90	0.5727
No log	6.0	108	0.5631
No log	7.0	126	0.5628
No log	8.0	144	0.5676
No log	9.0	162	0.5703
No log	10.0	180	0.5715

Framework versions

• Transformers 4.42.4
• Pytorch 2.3.1+cu121
• Datasets 2.20.0
• Tokenizers 0.19.1