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Hartunka/
tiny_bert_rand_50_v1_mrpc

Name: tiny_bert_rand_50_v1_mrpc
Availability: InStock

tensorboard

safetensors

distilbert

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Hartunka/tiny_bert_rand_50_v1

finetune

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tiny_bert_rand_50_v1_mrpc

This model is a fine-tuned version of Hartunka/tiny_bert_rand_50_v1 on the GLUE MRPC dataset. It achieves the following results on the evaluation set:

Loss: 0.5949
Accuracy: 0.6814
F1: 0.7937
Combined Score: 0.7375

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: 5e-05
train_batch_size: 256
eval_batch_size: 256
seed: 10
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 50

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Combined Score
0.6286	1.0	15	0.6045	0.6863	0.8019	0.7441
0.5948	2.0	30	0.5950	0.6985	0.8087	0.7536
0.556	3.0	45	0.5949	0.6814	0.7937	0.7375
0.5107	4.0	60	0.6383	0.7108	0.7958	0.7533
0.4193	5.0	75	0.6820	0.6495	0.7366	0.6931
0.3479	6.0	90	0.8077	0.7034	0.8	0.7517
0.2647	7.0	105	0.8842	0.6838	0.7795	0.7317
0.1929	8.0	120	1.0427	0.6814	0.7833	0.7324

Framework versions

Transformers 4.40.0
Pytorch 2.6.0+cu124
Datasets 3.5.0
Tokenizers 0.19.1

Hartunka/tiny_bert_rand_50_v1_mrpc

tiny_bert_rand_50_v1_mrpc

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Hartunka/
tiny_bert_rand_50_v1_mrpc