learn3r/sfd_blueprint_bart_base

summ_screen_fd_blueprint_epoch_10

This model is a fine-tuned version of facebook/bart-base on the learn3r/summ_screen_fd_bp dataset. It achieves the following results on the evaluation set:

• Loss: 2.0208

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: 32
• total_train_batch_size: 256
• optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-06
• lr_scheduler_type: linear
• num_epochs: 10.0

Training results

Training Loss	Epoch	Step	Validation Loss
3.382	0.97	14	2.3120
2.5354	1.95	28	2.1625
2.2504	2.99	43	2.1031
2.1809	3.97	57	2.0733
2.0889	4.94	71	2.0513
2.0586	5.98	86	2.0359
2.0117	6.96	100	2.0325
1.9849	8.0	115	2.0254
1.9803	8.97	129	2.0218
1.9584	9.74	140	2.0208

Framework versions

• Transformers 4.32.0.dev0
• Pytorch 2.0.1+cu117
• Datasets 2.14.4
• Tokenizers 0.13.3