pattern_model

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

• Loss: 4.9395

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: 1.5e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 16
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.03
• training_steps: 50
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
7.5011	0.1613	5	7.5987
6.3012	0.3226	10	5.8828
5.6098	0.4839	15	5.5494
5.3656	0.6452	20	5.3440
5.0999	0.8065	25	5.2776
4.9572	0.9677	30	5.1436
4.7974	1.1290	35	5.0645
4.9493	1.2903	40	4.9931
4.903	1.4516	45	4.9546
4.6146	1.6129	50	4.9395

Framework versions

• Transformers 4.41.2
• Pytorch 2.1.2
• Datasets 2.19.2
• Tokenizers 0.19.1