emotion_predictor_for_emotion_chat_bot

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: 0.5314
• Accuracy: 0.8377
• F1-score: 0.8526
• Num Input Tokens Seen: 114874880

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	5610	0.5620	0.8215	0.8298	22974976
0.8517	2.0	11220	0.5038	0.8496	0.8722	45949952
0.8517	3.0	16830	0.5476	0.8308	0.8432	68924928
0.837	4.0	22440	0.5194	0.8549	0.8797	91899904
0.837	5.0	28050	0.5314	0.8377	0.8526	114874880

Framework versions

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