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Hartunka/
tiny_bert_rand_50_v2

Name: tiny_bert_rand_50_v2
Rating: 2.5 (7 reviews)

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distilbert

generated_from_trainer

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

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tiny_bert_rand_50_v2

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

Loss: 10.2319
Accuracy: 0.1520

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
9.9992	4.1982	10000	10.2192	0.1499
9.4707	8.3963	20000	10.4744	0.1523
8.7418	12.5945	30000	11.1043	0.1532
7.9122	16.7926	40000	11.8956	0.1523
7.2963	20.9908	50000	12.6425	0.1511

Framework versions

Transformers 4.40.0
Pytorch 2.6.0+cu124
Datasets 3.5.0
Tokenizers 0.19.1

Hartunka/tiny_bert_rand_50_v2

tiny_bert_rand_50_v2

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Hartunka/
tiny_bert_rand_50_v2