BART-Firefox-Simplification

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

• Loss: 1.8845

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: 2.5e-05
• train_batch_size: 32
• eval_batch_size: 32
• seed: 42
• optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 317
• num_epochs: 15

Training results

Training Loss	Epoch	Step	Validation Loss
2.9105	1.0	212	2.6066
2.5528	2.0	424	2.2820
2.2435	3.0	636	2.1249
2.0536	4.0	848	2.0488
1.8914	5.0	1060	2.0239
1.8098	6.0	1272	1.9841
1.7267	7.0	1484	1.9589
1.6515	8.0	1696	1.9342
1.5856	9.0	1908	1.9000
1.5154	10.0	2120	1.9103
1.457	11.0	2332	1.9085
1.4072	12.0	2544	1.8845
1.369	13.0	2756	1.8903
1.3603	14.0	2968	1.8887
1.3215	15.0	3180	1.8869

Framework versions

• Transformers 4.48.3
• Pytorch 2.6.0+cu126
• Datasets 3.0.1
• Tokenizers 0.21.0