distilbert-base-uncasedreference-finetuned-cola – AI Model by jjjj-j | AlphaNeural AI

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distilbert-base-uncasedreference-finetuned-cola

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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distilbert-base-uncasedreference-finetuned-cola

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

Loss: 1.0408
Matthews Correlation: 0.2397

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	Matthews Correlation
No log	1.0	23	1.0818	0.0
No log	2.0	46	1.0870	0.0
No log	3.0	69	1.0482	0.0
No log	4.0	92	1.0365	-0.0847
No log	5.0	115	1.0346	0.0193
No log	6.0	138	1.0449	0.1171
No log	7.0	161	1.0368	0.0917
No log	8.0	184	1.0389	0.1690
No log	9.0	207	1.0367	0.2397
No log	10.0	230	1.0408	0.2397

Framework versions

Transformers 4.24.0
Pytorch 1.12.1+cu113
Datasets 2.6.1
Tokenizers 0.13.2