vy-wang/nostalgic_not_nostalgic_multi_language_ver

learn_hf_nostalgic_not_nostalgic_text_classifier-distilbert-base-uncased

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

• Loss: 0.0934
• Accuracy: 0.97

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: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.6965	1.0	25	0.4732	0.88
0.3605	2.0	50	0.1999	0.94
0.1718	3.0	75	0.0934	0.97

Framework versions

• Transformers 5.12.1
• Pytorch 2.11.0+cpu
• Datasets 4.0.0
• Tokenizers 0.22.2