distilrubert-tiny-cased-conversational-v1_best_finetuned_emotion_experiment_augmented_anger_fear

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distilrubert-tiny-cased-conversational-v1_best_finetuned_emotion_experiment_augmented_anger_fear

This model is a fine-tuned version of DeepPavlov/distilrubert-tiny-cased-conversational-v1 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.5751
• Accuracy: 0.8716
• F1: 0.8713
• Precision: 0.8721
• Recall: 0.8716

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: 0.0001
• train_batch_size: 64
• eval_batch_size: 64
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-06
• lr_scheduler_type: linear
• num_epochs: 20

Training results

Framework versions

• Transformers 4.19.2
• Pytorch 1.11.0+cu113
• Datasets 2.2.2
• Tokenizers 0.12.1