tiny_bert_rand_20_v2

This model is a fine-tuned version of on the Hartunka/processed_wikitext-103-raw-v1-rand-20_v2 dataset. It achieves the following results on the evaluation set:

• Loss: 9.2854
• 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
9.1024	4.1982	10000	9.2437	0.1507
8.7308	8.3963	20000	9.4041	0.1523
8.2147	12.5945	30000	9.9708	0.1540
7.5753	16.7926	40000	10.7708	0.1510
7.0936	20.9908	50000	11.3958	0.1511

Framework versions

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