---
license: apache-2.0
base_model: bert-base-cased
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: '1'
  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. -->

# 1

This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: nan
- F1: 0.0032

## 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: 0.0002
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 200

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 9.5074        | 0.18  | 10   | nan             | 0.0060 |
| 8.5442        | 0.37  | 20   | nan             | 0.0102 |
| 6.6803        | 0.55  | 30   | nan             | 0.0    |
| 7.1123        | 0.73  | 40   | nan             | 0.0040 |
| 9.1525        | 0.92  | 50   | nan             | 0.0044 |
| 7.3704        | 1.1   | 60   | nan             | 0.0    |
| 6.0446        | 1.28  | 70   | nan             | 0.0    |
| 6.8367        | 1.47  | 80   | nan             | 0.0    |
| 6.3409        | 1.65  | 90   | nan             | 0.0144 |
| 7.3165        | 1.83  | 100  | nan             | 0.0    |
| 6.2659        | 2.02  | 110  | nan             | 0.0    |
| 5.7613        | 2.2   | 120  | nan             | 0.0    |
| 6.3813        | 2.39  | 130  | nan             | 0.0044 |
| 6.977         | 2.57  | 140  | nan             | 0.0102 |
| 6.1388        | 2.75  | 150  | nan             | 0.0063 |
| 8.3673        | 2.94  | 160  | nan             | 0.0013 |
| 6.9132        | 3.12  | 170  | nan             | 0.0059 |
| 7.4859        | 3.3   | 180  | nan             | 0.0    |
| 6.5924        | 3.49  | 190  | nan             | 0.0061 |
| 6.3331        | 3.67  | 200  | nan             | 0.0032 |


### Framework versions

- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1