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---
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: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# sentiment_analysis_for_emotion_chat_bot_1
This model is a fine-tuned version of [michellejieli/emotion_text_classifier](https://huggingface.co/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
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