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Hartunka/
distilbert_rand_20_v1

Name: distilbert_rand_20_v1
Availability: InStock

safetensors

distilbert

generated_from_trainer

Hartunka/processed_wikitext-103-raw-v1-rand-20

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distilbert_rand_20_v1

This model is a fine-tuned version of on the Hartunka/processed_wikitext-103-raw-v1-rand-20 dataset. It achieves the following results on the evaluation set:

Loss: 9.2074
Accuracy: 0.1539

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
9.0219	4.1982	10000	9.1920	0.1517
8.4577	8.3963	20000	9.5281	0.1520
7.3566	12.5945	30000	10.7051	0.1536
6.5959	16.7926	40000	12.0437	0.1505
6.3072	20.9908	50000	12.8167	0.1513

Framework versions

Transformers 4.40.0
Pytorch 2.6.0+cu124
Datasets 3.5.0
Tokenizers 0.19.1

Hartunka/distilbert_rand_20_v1

distilbert_rand_20_v1

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Hartunka/
distilbert_rand_20_v1