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Hartunka/
tiny_bert_rand_100_v2

Name: tiny_bert_rand_100_v2
Rating: 2.5 (9 reviews)

safetensors

distilbert

generated_from_trainer

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

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tiny_bert_rand_100_v2

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

Loss: 10.8907
Accuracy: 0.1523

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
10.6784	4.1982	10000	10.8779	0.1501
10.0232	8.3963	20000	11.1558	0.1530
9.1752	12.5945	30000	11.7162	0.1537
8.2175	16.7926	40000	12.6584	0.1513
7.4989	20.9908	50000	13.4746	0.1518

Framework versions

Transformers 4.40.0
Pytorch 2.6.0+cu124
Datasets 3.5.0
Tokenizers 0.19.1

Hartunka/tiny_bert_rand_100_v2

tiny_bert_rand_100_v2

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Hartunka/
tiny_bert_rand_100_v2