tiny_bert_rand_50_v1

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

• Loss: 10.2437
• Accuracy: 0.1522

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
9.9989	4.1982	10000	10.2161	0.1500
9.4887	8.3963	20000	10.3731	0.1529
8.8108	12.5945	30000	11.0256	0.1540
7.9917	16.7926	40000	11.8612	0.1512
7.3605	20.9908	50000	12.6595	0.1514

Framework versions

• Transformers 4.40.0
• Pytorch 2.6.0+cu124
• Datasets 3.5.0
• Tokenizers 0.19.1