scenario-KD-PO-MSV-D2_data-massive001_all_1_1_delta

This model is a fine-tuned version of haryoaw/scenario-TCR-data-AmazonScience-massive-all_1.1-model-xlm-roberta-base on the massive dataset. It achieves the following results on the evaluation set:

• Loss: 2.3465
• Accuracy: 0.7473
• F1: 0.6509

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: 32
• eval_batch_size: 32
• seed: 1254
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 30

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.2662	27.03	5000	2.3465	0.7473	0.6509

Framework versions

• Transformers 4.33.3
• Pytorch 2.1.1+cu121
• Datasets 2.14.5
• Tokenizers 0.13.3