| --- |
| license: mit |
| tags: |
| - generated_from_trainer |
| datasets: |
| - emotion |
| metrics: |
| - f1 |
| model-index: |
| - name: emotion_model |
| results: |
| - task: |
| name: Text Classification |
| type: text-classification |
| dataset: |
| name: emotion |
| type: emotion |
| config: default |
| split: train |
| args: default |
| metrics: |
| - name: F1 |
| type: f1 |
| value: 0.14545454545454545 |
| --- |
| |
| <!-- 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. --> |
|
|
| # emotion_model |
| |
| This model is a fine-tuned version of [microsoft/MiniLM-L12-H384-uncased](https://huggingface.co/microsoft/MiniLM-L12-H384-uncased) on the emotion dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.7815 |
| - F1: 0.1455 |
| |
| ## 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: 10 |
| - eval_batch_size: 10 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 5 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | F1 | |
| |:-------------:|:-----:|:----:|:---------------:|:------:| |
| | 1.7968 | 1.0 | 2 | 1.7804 | 0.2286 | |
| | 1.7918 | 2.0 | 4 | 1.7812 | 0.2286 | |
| | 1.7867 | 3.0 | 6 | 1.7822 | 0.08 | |
| | 1.7884 | 4.0 | 8 | 1.7816 | 0.08 | |
| | 1.7833 | 5.0 | 10 | 1.7815 | 0.1455 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.22.2 |
| - Pytorch 1.12.1 |
| - Datasets 2.5.2 |
| - Tokenizers 0.11.0 |
| |
