20split_dataset_version3

This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:

• Loss: 2.8310

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: 5e-05
• train_batch_size: 32
• eval_batch_size: 32
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 16

Training results

Training Loss	Epoch	Step	Validation Loss
3.1679	1.0	313	2.9768
2.9869	2.0	626	2.9299
2.8528	3.0	939	2.9176
2.7435	4.0	1252	2.9104
2.6458	5.0	1565	2.8863
2.5865	6.0	1878	2.8669
2.5218	7.0	2191	2.8802
2.4647	8.0	2504	2.8639
2.3933	9.0	2817	2.8543
2.3687	10.0	3130	2.8573
2.3221	11.0	3443	2.8398
2.276	12.0	3756	2.8415
2.2379	13.0	4069	2.8471
2.2427	14.0	4382	2.8318
2.1741	15.0	4695	2.8356
2.1652	16.0	5008	2.8310

Framework versions

• Transformers 4.21.0
• Pytorch 1.12.0+cu113
• Datasets 2.4.0
• Tokenizers 0.12.1