fine-tuned-distilbert-base-uncased

This model is a fine-tuned version of cmarkea/distilcamembert-base-sentiment on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.0005
• Accuracy: {'accuracy': 1.0}
• F1score: {'f1': 1.0}

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: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 85
• num_epochs: 50

Training results

Framework versions

• Transformers 4.35.0
• Pytorch 2.1.0+cu118
• Datasets 2.14.6
• Tokenizers 0.14.1