distilbert-base-uncased-distilled-clinc – AI Model by Jay-C | AlphaNeural AI | AlphaNeural AI

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Jay-C/
distilbert-base-uncased-distilled-clinc

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text-classification

generated_from_trainer

distilbert/distilbert-base-uncased

autotrain_compatible

endpoints_compatible

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distilbert-base-uncased-distilled-clinc

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

Loss: 1.7628
Accuracy: 0.8403

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: 384
eval_batch_size: 384
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	Accuracy
No log	1.0	40	3.8005	0.1781
No log	2.0	80	3.3588	0.5739
No log	3.0	120	2.9451	0.7045
No log	4.0	160	2.6026	0.7581
No log	5.0	200	2.3296	0.7894
No log	6.0	240	2.1163	0.8084
No log	7.0	280	1.9559	0.8242
2.8275	8.0	320	1.8475	0.8329
2.8275	9.0	360	1.7837	0.8384
2.8275	10.0	400	1.7628	0.8403

Framework versions

Transformers 4.34.0
Pytorch 2.0.1+cu117
Datasets 2.14.5
Tokenizers 0.14.1