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Hartunka/
tiny_bert_rand_100_v1_sst2

Name: tiny_bert_rand_100_v1_sst2
Availability: InStock

tensorboard

safetensors

distilbert

generated_from_trainer

glue

Hartunka/tiny_bert_rand_100_v1

finetune

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tiny_bert_rand_100_v1_sst2

This model is a fine-tuned version of Hartunka/tiny_bert_rand_100_v1 on the GLUE SST2 dataset. It achieves the following results on the evaluation set:

Loss: 0.4504
Accuracy: 0.8096

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
0.4222	1.0	264	0.4504	0.8096
0.2388	2.0	528	0.5902	0.7798
0.1889	3.0	792	0.5326	0.7936
0.1546	4.0	1056	0.5878	0.8039
0.1291	5.0	1320	0.7141	0.7890
0.1088	6.0	1584	0.8532	0.7833

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_sst2

tiny_bert_rand_100_v1_sst2

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Hartunka/
tiny_bert_rand_100_v1_sst2