---
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: bert_prof_single_v3_128_below_100
  results: []
---

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# bert_prof_single_v3_128_below_100

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6341
- Accuracy: 0.8500
- F1: 0.8455

## 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: 1.6289314429698796e-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: 3

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|
| 0.7676        | 1.0   | 7505  | 0.7432          | 0.8097   | 0.7967 |
| 0.579         | 2.0   | 15010 | 0.6401          | 0.8404   | 0.8343 |
| 0.4389        | 3.0   | 22515 | 0.6213          | 0.8482   | 0.8430 |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1