distilbert-base-uncased-finetuned-transcripts-calls – AI Model by Tsipi | AlphaNeural AI

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distilbert-base-uncased-finetuned-transcripts-calls

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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: 0.2980

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: 12

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	33	1.3659
No log	2.0	66	0.9156
No log	3.0	99	0.7727
No log	4.0	132	0.6658
No log	5.0	165	0.5225
No log	6.0	198	0.3826
No log	7.0	231	0.3527
No log	8.0	264	0.3183
No log	9.0	297	0.3090
No log	10.0	330	0.3168
No log	11.0	363	0.2936
No log	12.0	396	0.2980

Framework versions

Transformers 4.38.2
Pytorch 2.2.0+cpu
Datasets 2.18.0
Tokenizers 0.15.2