hbertv1-massive-no_pretrain

This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.7963
• Accuracy: 0.8195

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: 33
• distributed_type: multi-GPU
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 15

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.6019	1.0	4000	0.7731	0.8096
0.8901	2.0	8000	0.7850	0.8141
0.6831	3.0	12000	0.7963	0.8195
0.5502	4.0	16000	0.8432	0.8190
0.4555	5.0	20000	0.8560	0.8180
0.3814	6.0	24000	0.9761	0.7964
0.3224	7.0	28000	0.9966	0.8052
0.277	8.0	32000	1.0567	0.8037
0.2388	9.0	36000	1.1149	0.8087
0.2066	10.0	40000	1.1988	0.8032
0.1785	11.0	44000	1.2350	0.8028
0.1533	12.0	48000	1.3315	0.8037
0.1329	13.0	52000	1.4839	0.8023
0.1153	14.0	56000	1.5399	0.8018
0.0994	15.0	60000	1.5967	0.7998

Framework versions

• Transformers 4.35.2
• Pytorch 1.14.0a0+410ce96
• Datasets 2.15.0
• Tokenizers 0.15.0