|
|
--- |
|
|
library_name: transformers |
|
|
license: mit |
|
|
base_model: jhu-clsp/mmBERT-base |
|
|
tags: |
|
|
- multi_label_classification |
|
|
- generated_from_trainer |
|
|
model-index: |
|
|
- name: finetuned_model_emotion_detection |
|
|
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. --> |
|
|
|
|
|
# finetuned_model_emotion_detection |
|
|
|
|
|
This model is a fine-tuned version of [jhu-clsp/mmBERT-base](https://huggingface.co/jhu-clsp/mmBERT-base) on the None dataset. |
|
|
It achieves the following results on the evaluation set: |
|
|
- Loss: 0.3474 |
|
|
- F1 Macro: 0.5055 |
|
|
|
|
|
## 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: 5e-05 |
|
|
- train_batch_size: 16 |
|
|
- eval_batch_size: 16 |
|
|
- seed: 42 |
|
|
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
|
|
- lr_scheduler_type: linear |
|
|
- lr_scheduler_warmup_ratio: 0.1 |
|
|
- num_epochs: 3 |
|
|
|
|
|
### Training results |
|
|
|
|
|
| Training Loss | Epoch | Step | Validation Loss | F1 Macro | |
|
|
|:-------------:|:-----:|:----:|:---------------:|:--------:| |
|
|
| No log | 1.0 | 223 | 0.2843 | 0.4052 | |
|
|
| No log | 2.0 | 446 | 0.2643 | 0.4646 | |
|
|
| 0.2521 | 3.0 | 669 | 0.3474 | 0.5055 | |
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- Transformers 4.57.1 |
|
|
- Pytorch 2.8.0+cu126 |
|
|
- Datasets 4.2.0 |
|
|
- Tokenizers 0.22.1 |
|
|
|
