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tiny_bert_rand_50_v1_sst2 – AI Model by Hartunka | AlphaNeural AI
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tiny_bert_rand_50_v1_sst2
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tiny_bert_rand_50_v1_sst2
This model is a fine-tuned version of
Hartunka/tiny_bert_rand_50_v1
on the GLUE SST2 dataset. It achieves the following results on the evaluation set:
Loss: 0.4549
Accuracy: 0.8028
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
0.4234
1.0
264
0.4549
0.8028
0.2388
2.0
528
0.5081
0.7936
0.1892
3.0
792
0.5134
0.8039
0.1562
4.0
1056
0.5727
0.8062
0.1309
5.0
1320
0.6913
0.7924
0.1098
6.0
1584
0.7671
0.7993
Framework versions
Transformers 4.40.0
Pytorch 2.6.0+cu124
Datasets 3.5.0
Tokenizers 0.19.1
