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Hartunka/
tiny_bert_km_10_v2

Name: tiny_bert_km_10_v2
Rating: 2.5 (7 reviews)

safetensors

distilbert

generated_from_trainer

Hartunka/processed_wikitext-103-raw-v1-km-10_v2

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tiny_bert_km_10_v2

This model is a fine-tuned version of on the Hartunka/processed_wikitext-103-raw-v1-km-10_v2 dataset. It achieves the following results on the evaluation set:

Loss: 6.3428
Accuracy: 0.1565

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
6.5128	4.1982	10000	6.4675	0.1478
6.2388	8.3963	20000	6.4157	0.1521
6.1049	12.5945	30000	6.4012	0.1543
6.018	16.7926	40000	6.4879	0.1523
5.9573	20.9908	50000	6.3911	0.1529

Framework versions

Transformers 4.40.0
Pytorch 2.6.0+cu124
Datasets 3.5.0
Tokenizers 0.19.1

Hartunka/tiny_bert_km_10_v2

tiny_bert_km_10_v2

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Hartunka/
tiny_bert_km_10_v2