bert-base-uncased-New_data_bert1

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

• Loss: 1.9215

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: 4
• eval_batch_size: 4
• 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
2.4496	1.0	2018	2.2066
2.2532	2.0	4036	2.1438
2.1572	3.0	6054	2.1046
2.0839	4.0	8072	2.0943
2.0222	5.0	10090	2.0573
1.9608	6.0	12108	2.0188
1.9123	7.0	14126	2.0008
1.8666	8.0	16144	2.0063
1.8305	9.0	18162	1.9607
1.7958	10.0	20180	1.9702
1.7498	11.0	22198	1.9635
1.7172	12.0	24216	1.9404
1.695	13.0	26234	1.9455
1.6628	14.0	28252	1.9269
1.6558	15.0	30270	1.9173
1.6293	16.0	32288	1.9215

Framework versions

• Transformers 4.21.1
• Pytorch 1.12.1+cu113
• Datasets 2.4.0
• Tokenizers 0.12.1