ASAP_SENT

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

• Loss: 0.9208
• Accuracy: 0.5955

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: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.925	1.0	1152	0.8893	0.5927
0.8375	2.0	2304	0.8942	0.5994
0.8316	3.0	3456	0.9208	0.5955

Framework versions

• Transformers 4.39.3
• Pytorch 2.1.2
• Datasets 2.18.0
• Tokenizers 0.15.2