lead-reliability-scoring

This model is a fine-tuned version of bert-base-multilingual-cased on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.0123
• F1: 0.9937

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: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	F1
No log	1.0	50	0.3866	0.5761
No log	2.0	100	0.3352	0.6538
No log	3.0	150	0.1786	0.8283
No log	4.0	200	0.1862	0.8345
No log	5.0	250	0.1367	0.8736
No log	6.0	300	0.0642	0.9477
No log	7.0	350	0.0343	0.9748
No log	8.0	400	0.0190	0.9874
No log	9.0	450	0.0123	0.9937
0.2051	10.0	500	0.0058	0.9937

Framework versions

• Transformers 4.20.0
• Pytorch 1.11.0+cu113
• Datasets 2.3.2
• Tokenizers 0.12.1