---
library_name: transformers
license: mit
base_model: mateiaassAI/teacher_emo
tags:
- generated_from_trainer
metrics:
- f1
- accuracy
- precision
- recall
model-index:
- name: teacher_emo_redv2
  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. -->

# teacher_emo_redv2

This model is a fine-tuned version of [mateiaassAI/teacher_emo](https://huggingface.co/mateiaassAI/teacher_emo) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2455
- F1: 0.6905
- Roc Auc: 0.7975
- Accuracy: 0.5967
- Precision: 0.7515
- Recall: 0.6427

## 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: 1.7e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     | Roc Auc | Accuracy | Precision | Recall |
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|:---------:|:------:|
| No log        | 1.0   | 256  | 0.2661          | 0.6012 | 0.7369  | 0.4788   | 0.7897    | 0.5090 |
| 0.2941        | 2.0   | 512  | 0.2433          | 0.6749 | 0.7869  | 0.5801   | 0.7702    | 0.6117 |
| 0.2941        | 3.0   | 768  | 0.2467          | 0.6783 | 0.7933  | 0.5912   | 0.7384    | 0.6362 |
| 0.1692        | 4.0   | 1024 | 0.2455          | 0.6905 | 0.7975  | 0.5967   | 0.7515    | 0.6427 |


### Framework versions

- Transformers 4.45.1
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.20.0