sentiment_analysis_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: 0.4012
- Accuracy: 0.8653
- F1-score: 0.8582
- 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 | 0.3932 | 0.8715 | 0.8678 | 26162176 |
| 0.6659 | 2.0 | 12776 | 0.3770 | 0.8724 | 0.8680 | 52324352 |
| 0.6659 | 3.0 | 19164 | 0.3531 | 0.8776 | 0.8749 | 78486528 |
| 0.643 | 4.0 | 25552 | 0.3735 | 0.8726 | 0.8696 | 104648704 |
| 0.643 | 5.0 | 31940 | 0.4012 | 0.8653 | 0.8582 | 130810880 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1
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Base model
michellejieli/emotion_text_classifier