---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
metrics:
- accuracy
base_model: bert-base-cased
model-index:
- name: test_trainer
  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. -->

# test_trainer

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: 0.4153
- Accuracy: 0.819

## 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: 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: 25

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 125  | 0.6959          | 0.451    |
| No log        | 2.0   | 250  | 0.6876          | 0.561    |
| No log        | 3.0   | 375  | 0.6825          | 0.543    |
| 0.6936        | 4.0   | 500  | 0.6629          | 0.617    |
| 0.6936        | 5.0   | 625  | 0.6337          | 0.661    |
| 0.6936        | 6.0   | 750  | 0.6049          | 0.674    |
| 0.6936        | 7.0   | 875  | 0.5729          | 0.706    |
| 0.6247        | 8.0   | 1000 | 0.5497          | 0.71     |
| 0.6247        | 9.0   | 1125 | 0.5248          | 0.733    |
| 0.6247        | 10.0  | 1250 | 0.5047          | 0.74     |
| 0.6247        | 11.0  | 1375 | 0.4837          | 0.765    |
| 0.5062        | 12.0  | 1500 | 0.4711          | 0.766    |
| 0.5062        | 13.0  | 1625 | 0.4593          | 0.784    |
| 0.5062        | 14.0  | 1750 | 0.4504          | 0.788    |
| 0.5062        | 15.0  | 1875 | 0.4430          | 0.793    |
| 0.4395        | 16.0  | 2000 | 0.4341          | 0.8      |
| 0.4395        | 17.0  | 2125 | 0.4310          | 0.8      |
| 0.4395        | 18.0  | 2250 | 0.4264          | 0.807    |
| 0.4395        | 19.0  | 2375 | 0.4214          | 0.807    |
| 0.3974        | 20.0  | 2500 | 0.4211          | 0.811    |
| 0.3974        | 21.0  | 2625 | 0.4168          | 0.812    |
| 0.3974        | 22.0  | 2750 | 0.4183          | 0.815    |
| 0.3974        | 23.0  | 2875 | 0.4155          | 0.815    |
| 0.3823        | 24.0  | 3000 | 0.4154          | 0.818    |
| 0.3823        | 25.0  | 3125 | 0.4153          | 0.819    |


### Framework versions

- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.3.0.dev20231231
- Datasets 2.16.1
- Tokenizers 0.15.0