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Hartunka/
tiny_bert_km_50_v2

Name: tiny_bert_km_50_v2
Rating: 2.5 (6 reviews)

safetensors

distilbert

generated_from_trainer

Hartunka/processed_wikitext-103-raw-v1-km-50_v2

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tiny_bert_km_50_v2

This model is a fine-tuned version of on the Hartunka/processed_wikitext-103-raw-v1-km-50_v2 dataset. It achieves the following results on the evaluation set:

Loss: 6.8757
Accuracy: 0.1526

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: 0.0001
train_batch_size: 96
eval_batch_size: 96
seed: 10
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 10000
num_epochs: 25

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
6.9045	4.1982	10000	6.9532	0.1481
6.4983	8.3963	20000	6.8621	0.1524
6.3069	12.5945	30000	6.8769	0.1533
6.1769	16.7926	40000	6.9537	0.1523
6.0989	20.9908	50000	7.0162	0.1513

Framework versions

Transformers 4.40.0
Pytorch 2.6.0+cu124
Datasets 3.5.0
Tokenizers 0.19.1

Hartunka/tiny_bert_km_50_v2

tiny_bert_km_50_v2

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Hartunka/
tiny_bert_km_50_v2