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petermutwiri/
Tiny_Bert_Cupstone

Name: Tiny_Bert_Cupstone
Availability: InStock

generated_from_trainer

huawei-noah/TinyBERT_General_4L_312D

finetune

autotrain_compatible

endpoints_compatible

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Tiny_Bert_Cupstone

This model is a fine-tuned version of huawei-noah/TinyBERT_General_4L_312D on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.3333
Accuracy: 0.8550

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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.524	0.2	500	0.4015	0.8318
0.4268	0.4	1000	0.4274	0.8279
0.39	0.6	1500	0.3743	0.8502
0.3674	0.8	2000	0.3333	0.8550
0.3687	1.0	2500	0.3836	0.8585
0.3489	1.2	3000	0.3927	0.8548
0.3193	1.41	3500	0.3938	0.8669
0.3525	1.61	4000	0.3717	0.8753
0.3327	1.81	4500	0.4589	0.8573
0.3276	2.01	5000	0.3676	0.8791
0.285	2.21	5500	0.4196	0.8811
0.2757	2.41	6000	0.3973	0.8777
0.277	2.61	6500	0.4198	0.8805
0.2834	2.81	7000	0.4955	0.8739
0.338	3.01	7500	0.4383	0.8844
0.2499	3.21	8000	0.4745	0.8785
0.2405	3.41	8500	0.4794	0.8854
0.2648	3.61	9000	0.4576	0.8844
0.2379	3.81	9500	0.4395	0.8886
0.2343	4.01	10000	0.5088	0.8791
0.2011	4.22	10500	0.5272	0.8781
0.2198	4.42	11000	0.5235	0.8765
0.2343	4.62	11500	0.5019	0.8844
0.194	4.82	12000	0.5227	0.8791

Framework versions

Transformers 4.34.1
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1

petermutwiri/Tiny_Bert_Cupstone

Tiny_Bert_Cupstone

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

petermutwiri/
Tiny_Bert_Cupstone