dealFindr-finetuned

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: 4.3328

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: 1e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 20

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	6	13.2699
No log	2.0	12	12.2786
No log	3.0	18	11.5745
No log	4.0	24	10.8457
No log	5.0	30	9.8424
No log	6.0	36	8.5779
No log	7.0	42	6.9630
No log	8.0	48	6.1362
No log	9.0	54	5.6167
No log	10.0	60	5.3033
No log	11.0	66	5.0873
No log	12.0	72	4.8782
No log	13.0	78	4.7162
No log	14.0	84	4.6101
No log	15.0	90	4.5256
No log	16.0	96	4.4572
No log	17.0	102	4.4019
No log	18.0	108	4.3624
No log	19.0	114	4.3405
No log	20.0	120	4.3328

Framework versions

• Transformers 4.31.0
• Pytorch 2.0.1+cu118
• Datasets 2.14.4
• Tokenizers 0.13.3