---
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