---
library_name: transformers
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
model-index:
- name: bert-distill_emotion_ft_0531
  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. -->

# bert-distill_emotion_ft_0531

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5863
- Accuracy: 0.8
- F1: 0.7620
- Precision: 0.6746

## 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: 2e-05
- train_batch_size: 512
- eval_batch_size: 512
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|
| No log        | 1.0   | 32   | 1.0948          | 0.5905   | 0.4619 | 0.3647    |
| No log        | 2.0   | 64   | 0.8247          | 0.7195   | 0.6613 | 0.6385    |
| No log        | 3.0   | 96   | 0.6437          | 0.7805   | 0.7343 | 0.6801    |
| No log        | 4.0   | 128  | 0.5863          | 0.8      | 0.7620 | 0.6746    |


### Framework versions

- Transformers 4.52.4
- Pytorch 2.7.0+cu126
- Datasets 3.6.0
- Tokenizers 0.21.1