distilbert-base-uncased-finetuned-transcripts-calls

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

• Loss: 0.5512

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: 18

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	33	0.4164
No log	2.0	66	0.4920
No log	3.0	99	0.4535
No log	4.0	132	0.5247
No log	5.0	165	0.3971
No log	6.0	198	0.4293
No log	7.0	231	0.4794
No log	8.0	264	0.4998
No log	9.0	297	0.4648
No log	10.0	330	0.4973
No log	11.0	363	0.4613
No log	12.0	396	0.3967
No log	13.0	429	0.4731
No log	14.0	462	0.5136
No log	15.0	495	0.5510
0.0435	16.0	528	0.5424
0.0435	17.0	561	0.5436
0.0435	18.0	594	0.5512

Framework versions

• Transformers 4.38.2
• Pytorch 2.2.1+cpu
• Datasets 2.18.0
• Tokenizers 0.15.2