---
library_name: transformers
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_trainer
metrics:
- f1
- accuracy
model-index:
- name: bert-finetuned-advisor-feedback
  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-finetuned-advisor-feedback

This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co./bert-base-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0577
- F1: 0.9377
- Roc Auc: 0.9605
- Accuracy: 0.8564

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     | Roc Auc | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
| No log        | 1.0   | 404  | 0.2224          | 0.4395 | 0.6424  | 0.0866   |
| 0.2972        | 2.0   | 808  | 0.1361          | 0.8395 | 0.8720  | 0.5866   |
| 0.1464        | 3.0   | 1212 | 0.0951          | 0.9056 | 0.9269  | 0.7599   |
| 0.0841        | 4.0   | 1616 | 0.0770          | 0.9226 | 0.9472  | 0.8168   |
| 0.0529        | 5.0   | 2020 | 0.0653          | 0.9344 | 0.9569  | 0.8540   |
| 0.0529        | 6.0   | 2424 | 0.0603          | 0.9357 | 0.9565  | 0.8490   |
| 0.0384        | 7.0   | 2828 | 0.0577          | 0.9377 | 0.9605  | 0.8564   |
| 0.0323        | 8.0   | 3232 | 0.0569          | 0.9366 | 0.9579  | 0.8540   |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1