distilbert-base-uncased-becasv2-5 – AI Model by Evelyn18 | AlphaNeural AI

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distilbert-base-uncased-becasv2-5

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distilbert-base-uncased-becasv2-5

This model is a fine-tuned version of distilbert-base-uncased on the becasv2 dataset. It achieves the following results on the evaluation set:

Loss: 3.0409

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: 15

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	6	5.3475
No log	2.0	12	4.6045
No log	3.0	18	4.1832
No log	4.0	24	3.8223
No log	5.0	30	3.4798
No log	6.0	36	3.2615
No log	7.0	42	3.1414
No log	8.0	48	3.1067
No log	9.0	54	2.9950
No log	10.0	60	2.9482
No log	11.0	66	2.9536
No log	12.0	72	3.0180
No log	13.0	78	3.0515
No log	14.0	84	3.0444
No log	15.0	90	3.0409

Framework versions

Transformers 4.20.1
Pytorch 1.11.0+cu113
Datasets 2.3.2
Tokenizers 0.12.1