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Hartunka/
tiny_bert_km_50_v1

Name: tiny_bert_km_50_v1
Availability: InStock

safetensors

distilbert

generated_from_trainer

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

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tiny_bert_km_50_v1

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

Loss: 6.9163
Accuracy: 0.1532

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
7.0546	4.1982	10000	7.0547	0.1468
6.6575	8.3963	20000	6.9067	0.1519
6.4303	12.5945	30000	6.9455	0.1539
6.2678	16.7926	40000	7.0367	0.1519
6.1768	20.9908	50000	7.0473	0.1504

Framework versions

Transformers 4.40.0
Pytorch 2.6.0+cu124
Datasets 3.5.0
Tokenizers 0.19.1

Hartunka/tiny_bert_km_50_v1

tiny_bert_km_50_v1

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Hartunka/
tiny_bert_km_50_v1