---
base_model: bert-base-cased
library_name: peft
license: apache-2.0
metrics:
- f1
tags:
- generated_from_trainer
model-index:
- name: bert-dair-ai-emotion-testing
  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-dair-ai-emotion-testing

This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1413
- F1: 0.8670

## 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 adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 1.4777        | 1.0   | 48   | 1.1115          | 0.6293 |
| 1.0781        | 2.0   | 96   | 0.7560          | 0.6536 |
| 0.7411        | 3.0   | 144  | 0.6211          | 0.7324 |
| 0.3429        | 4.0   | 192  | 0.4169          | 0.7486 |
| 0.4494        | 5.0   | 240  | 0.2302          | 0.7559 |
| 0.176         | 6.0   | 288  | 0.1959          | 0.8222 |
| 0.1838        | 7.0   | 336  | 0.1578          | 0.8647 |
| 0.1846        | 8.0   | 384  | 0.1451          | 0.8304 |
| 0.1379        | 9.0   | 432  | 0.1554          | 0.8647 |
| 0.0895        | 10.0  | 480  | 0.1418          | 0.8328 |
| 0.0151        | 11.0  | 528  | 0.1468          | 0.8304 |
| 0.0625        | 12.0  | 576  | 0.1630          | 0.8304 |
| 0.0397        | 13.0  | 624  | 0.1372          | 0.8304 |
| 0.0177        | 14.0  | 672  | 0.1359          | 0.8304 |
| 0.0062        | 15.0  | 720  | 0.1386          | 0.8328 |
| 0.0244        | 16.0  | 768  | 0.1298          | 0.8351 |
| 0.01          | 17.0  | 816  | 0.1369          | 0.8351 |
| 0.0094        | 18.0  | 864  | 0.1418          | 0.8670 |
| 0.0329        | 19.0  | 912  | 0.1400          | 0.8670 |
| 0.0791        | 20.0  | 960  | 0.1413          | 0.8670 |


### Framework versions

- PEFT 0.13.2
- Transformers 4.48.0
- Pytorch 2.4.1+cu124
- Datasets 3.0.1
- Tokenizers 0.21.0