finetuned_bert-base_on_shEMO_transcripts – AI Model by minoosh | AlphaNeural AI

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minoosh/
finetuned_bert-base_on_shEMO_transcripts

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text-classification

generated_from_trainer

google-bert/bert-base-uncased

autotrain_compatible

endpoints_compatible

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finetuned_bert-base

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

Loss: 1.2046
Accuracy: 0.52

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: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 15

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.413	1.0	75	1.3023	0.4667
1.2772	2.0	150	1.2043	0.52
1.2019	3.0	225	1.0879	0.5733
1.1463	4.0	300	1.1124	0.57
1.1566	5.0	375	1.1220	0.5367
1.1096	6.0	450	1.0675	0.5967
0.9806	7.0	525	1.0315	0.64
0.8715	8.0	600	1.0616	0.6
0.8788	9.0	675	1.1211	0.59
0.8071	10.0	750	1.1400	0.6
0.6908	11.0	825	1.1848	0.6033
0.6244	12.0	900	1.2255	0.59
0.628	13.0	975	1.2264	0.6
0.6003	14.0	1050	1.2270	0.6033
0.5283	15.0	1125	1.2399	0.5933

Framework versions

Transformers 4.34.1
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1