distilBert_sentiment_test_23DEC

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distilBert_sentiment_test_23DEC

This model is a fine-tuned version of lxyuan/distilbert-base-multilingual-cased-sentiments-student on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 1.4967
• Y True: [1 2 0 ... 0 2 2]
• Y Pred: [1 2 0 ... 0 2 2]
• Accuracy: 0.7583
• F1: 0.7588
• Precision: 0.7601
• Recall: 0.7583
• Confusion Matrix: [[0 0 0] [0 0 0] [0 0 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: 2e-05
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 50
• num_epochs: 5
• mixed_precision_training: Native AMP

Training results

Framework versions

• Transformers 4.36.2
• Pytorch 2.1.0+cu121
• Datasets 2.16.1
• Tokenizers 0.15.0