sentiment_analysis_for_emotion_chat_bot_1

This model is a fine-tuned version of michellejieli/emotion_text_classifier on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.3417
• Accuracy: 0.8829
• F1-score: 0.8807
• Num Input Tokens Seen: 130810880

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: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: constant
• lr_scheduler_warmup_ratio: 0.03
• num_epochs: 5
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1-score	Input Tokens Seen
No log	1.0	6388	0.4233	0.8596	0.8491	26162176
0.6639	2.0	12776	0.3680	0.8731	0.8706	52324352
0.6639	3.0	19164	0.3562	0.8803	0.8767	78486528
0.6496	4.0	25552	0.3964	0.8642	0.8575	104648704
0.6496	5.0	31940	0.3417	0.8829	0.8807	130810880

Framework versions

• Transformers 4.44.2
• Pytorch 2.4.0+cu121
• Datasets 3.0.0
• Tokenizers 0.19.1