distilbert_rand_10_v1

This model is a fine-tuned version of on the Hartunka/processed_wikitext-103-raw-v1-rand-10 dataset. It achieves the following results on the evaluation set:

• Loss: 8.4753
• Accuracy: 0.1537

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
8.3584	4.1982	10000	8.4600	0.1510
7.9814	8.3963	20000	8.6438	0.1520
7.1696	12.5945	30000	9.5950	0.1528
6.5265	16.7926	40000	10.7295	0.1521
6.2316	20.9908	50000	11.6464	0.1516

Framework versions

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