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Hartunka/
tiny_bert_rand_100_v1_rte

Name: tiny_bert_rand_100_v1_rte
Rating: 2.5 (10 reviews)

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distilbert

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Hartunka/tiny_bert_rand_100_v1

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tiny_bert_rand_100_v1_rte

This model is a fine-tuned version of Hartunka/tiny_bert_rand_100_v1 on the GLUE RTE dataset. It achieves the following results on the evaluation set:

Loss: 0.6844
Accuracy: 0.5632

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
0.7003	1.0	10	0.6884	0.5307
0.6895	2.0	20	0.6844	0.5632
0.6719	3.0	30	0.6904	0.5596
0.618	4.0	40	0.7529	0.5668
0.5321	5.0	50	0.8656	0.5487
0.4247	6.0	60	1.0241	0.5126
0.3081	7.0	70	1.1948	0.5054

Framework versions

Transformers 4.40.0
Pytorch 2.6.0+cu124
Datasets 3.5.0
Tokenizers 0.19.1

Hartunka/tiny_bert_rand_100_v1_rte

tiny_bert_rand_100_v1_rte

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Hartunka/
tiny_bert_rand_100_v1_rte