distilbert-base-multilingual-cased-finetuned-similarite

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

• Loss: 0.4781
• Accuracy: 0.7995
• F1: 0.7995

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: 64
• eval_batch_size: 64
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.5343	1.0	772	0.4879	0.7705	0.7714
0.3523	2.0	1544	0.4781	0.7995	0.7995

Framework versions

• Transformers 4.19.3
• Pytorch 1.11.0+cu113
• Datasets 2.2.2
• Tokenizers 0.12.1