metadata
library_name: transformers
base_model: michellejieli/emotion_text_classifier
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: sentiment_analysis_for_emotion_chat_bot_1
results: []
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