mbart-large-50-finetuned-latest2

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: 2.7745

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: 2e-05
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• gradient_accumulation_steps: 16
• total_train_batch_size: 64
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 100
• num_epochs: 8
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	183	2.7751
No log	2.0	367	2.7959
No log	3.0	550	2.4704
No log	4.0	734	2.4475
No log	5.0	917	2.4498
No log	6.0	1101	2.4558
No log	6.99	1284	2.4719
No log	7.98	1464	2.7745

Framework versions

• Transformers 4.38.2
• Pytorch 2.1.2
• Datasets 2.15.0
• Tokenizers 0.15.2