---
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
  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

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: 0.1341
- F1: 0.8647

## 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.0127        | 1.0   | 48   | 0.1385          | 0.8670 |
| 0.0208        | 2.0   | 96   | 0.1379          | 0.8351 |
| 0.0076        | 3.0   | 144  | 0.1452          | 0.8351 |
| 0.0015        | 4.0   | 192  | 0.1336          | 0.8647 |
| 0.0133        | 5.0   | 240  | 0.1341          | 0.8647 |


### Framework versions

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