---
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: CRAB_bert_base_uncased_finetuned
  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. -->

# CRAB_bert_base_uncased_finetuned

This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0100
- F1: 0.7250

## 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: 1e-05
- train_batch_size: 1
- eval_batch_size: 1
- 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     |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| 1.0219        | 1.0   | 2880  | 1.0762          | 0.6806 |
| 0.8456        | 2.0   | 5760  | 0.9188          | 0.6986 |
| 0.8018        | 3.0   | 8640  | 1.0030          | 0.7264 |
| 0.7287        | 4.0   | 11520 | 0.9955          | 0.7181 |
| 0.69          | 5.0   | 14400 | 1.0546          | 0.7167 |
| 0.7155        | 6.0   | 17280 | 1.0075          | 0.7208 |
| 0.6945        | 7.0   | 20160 | 0.9942          | 0.7208 |
| 0.7096        | 8.0   | 23040 | 1.0100          | 0.7250 |


### Framework versions

- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1