You can deploy this model and start earning money today!

Hartunka/
bert_base_km_100_v2

Name: bert_base_km_100_v2
Availability: InStock

transformers

safetensors

distilbert

generated_from_trainer

Hartunka/processed_wikitext-103-raw-v1-km-100_v2

model-index

endpoints_compatible

Views

No views yet

bert_base_km_100_v2

This model is a fine-tuned version of on the Hartunka/processed_wikitext-103-raw-v1-km-100_v2 dataset. It achieves the following results on the evaluation set:

Loss: 7.0530
Accuracy: 0.1534

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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 10000
num_epochs: 25

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
7.0906	4.1982	10000	7.2316	0.1493
6.5625	8.3963	20000	7.0367	0.1526
6.2634	12.5945	30000	7.2296	0.1545
6.0994	16.7926	40000	7.4918	0.1523
6.0062	20.9908	50000	7.3908	0.1511

Framework versions

Transformers 4.50.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.21.1

Hartunka/bert_base_km_100_v2

bert_base_km_100_v2

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Hartunka/
bert_base_km_100_v2