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
- Downloads last month
- 4
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.
Model tree for Shotaro30678/archive_emotion_predictor_for_emotion_chat_bot
Base model
michellejieli/emotion_text_classifier