xlnet-base – AI Model by Xiugapurin | AlphaNeural AI

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Xiugapurin/
xlnet-base

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text-generation

generated_from_trainer

hfl/chinese-xlnet-base

autotrain_compatible

endpoints_compatible

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xlnet-base

This model is a fine-tuned version of hfl/chinese-xlnet-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 5.7194

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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 500
num_epochs: 2
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
8.1116	0.11	500	6.8678
6.8507	0.22	1000	6.7533
6.7394	0.34	1500	6.7035
6.6534	0.45	2000	6.6033
6.5451	0.56	2500	6.4870
6.4314	0.67	3000	6.3461
6.2783	0.78	3500	6.2090
6.1681	0.9	4000	6.0913
6.0757	1.01	4500	5.9937
5.9735	1.12	5000	5.9321
5.9025	1.23	5500	5.8552
5.8424	1.34	6000	5.8166
5.804	1.45	6500	5.7849
5.7535	1.57	7000	5.7420
5.7674	1.68	7500	5.7311
5.7613	1.79	8000	5.7269
5.7322	1.9	8500	5.7194

Framework versions

Transformers 4.36.2
Pytorch 2.1.0+cu121
Datasets 2.16.0
Tokenizers 0.15.0