metadata
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: []
teacher_emo_redv2
This model is a fine-tuned version of 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