xlnet-large_basetags_10k_2_p3

This model is a fine-tuned version of model_saves/xlnet-large_basetags_10k_2_p2 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.4800
• Accuracy: 0.9405

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: 1e-05
• train_batch_size: 128
• eval_batch_size: 128
• seed: 52
• distributed_type: multi-GPU
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: constant
• num_epochs: 15.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	268	0.4432	0.9404
No log	2.0	536	0.4482	0.9401
No log	3.0	804	0.4800	0.9405
0.3219	4.0	1072	0.5201	0.9400
0.3219	5.0	1340	0.5552	0.9394
0.3219	6.0	1608	0.6083	0.9387

Framework versions

• Transformers 4.21.0.dev0
• Pytorch 1.11.0+cu113
• Datasets 2.3.2
• Tokenizers 0.12.1