20split_dataset_version2

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: 2.0626

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: 64
• eval_batch_size: 64
• 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
2.7621	1.0	11851	2.5216
2.5466	2.0	23702	2.4157
2.4505	3.0	35553	2.3592
2.3798	4.0	47404	2.3028
2.3178	5.0	59255	2.2768
2.272	6.0	71106	2.2366
2.2323	7.0	82957	2.2128
2.1928	8.0	94808	2.1797
2.157	9.0	106659	2.1667
2.1292	10.0	118510	2.1392
2.0978	11.0	130361	2.1280
2.0725	12.0	142212	2.1106
2.052	13.0	154063	2.0944
2.0268	14.0	165914	2.0804
2.0121	15.0	177765	2.0698
1.9997	16.0	189616	2.0626

Framework versions

• Transformers 4.20.1
• Pytorch 1.12.0+cu113
• Datasets 2.4.0
• Tokenizers 0.12.1