xlnet-finetuned-socialmediatweet

This model is a fine-tuned version of xlnet-base-cased on the tweet_sentiment_multilingual dataset. It achieves the following results on the evaluation set:

• Loss: 2.6923
• Accuracy: 0.7130

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: 2e-05
• train_batch_size: 32
• eval_batch_size: 32
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 20

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.0161	1.0	58	2.4538	0.6821
0.0416	2.0	116	2.3751	0.6821
0.0294	3.0	174	2.4929	0.7068
0.031	4.0	232	2.5655	0.7037
0.0422	5.0	290	3.0881	0.6605
0.0751	6.0	348	2.6787	0.6883
0.0264	7.0	406	2.5283	0.7006
0.0123	8.0	464	2.5634	0.7006
0.0277	9.0	522	2.7127	0.6852
0.0448	10.0	580	2.6113	0.6759
0.0261	11.0	638	2.6640	0.6759
0.0111	12.0	696	2.6089	0.6914
0.0239	13.0	754	2.5785	0.6975
0.0255	14.0	812	2.6923	0.7130
0.0242	15.0	870	2.4704	0.7068
0.0131	16.0	928	2.6724	0.6667
0.0059	17.0	986	2.5554	0.7068
0.0066	18.0	1044	2.6696	0.6698
0.001	19.0	1102	2.5653	0.6883
0.0026	20.0	1160	2.5846	0.6883

Framework versions

• Transformers 4.35.2
• Pytorch 2.1.0+cu118
• Datasets 2.15.0
• Tokenizers 0.15.0