peft tensorboard safetensors generated_from_trainer base_model:bert-base-cased license:apache-2.0 region:us
---
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: 0.3803
- Accuracy: 0.842

## 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  | 0.6786          | 0.608    |
| No log        | 2.0   | 250  | 0.6718          | 0.598    |
| No log        | 3.0   | 375  | 0.6695          | 0.574    |
| 0.6888        | 4.0   | 500  | 0.6583          | 0.599    |
| 0.6888        | 5.0   | 625  | 0.6262          | 0.684    |
| 0.6888        | 6.0   | 750  | 0.5936          | 0.697    |
| 0.6888        | 7.0   | 875  | 0.5520          | 0.721    |
| 0.6057        | 8.0   | 1000 | 0.5149          | 0.746    |
| 0.6057        | 9.0   | 1125 | 0.4848          | 0.762    |
| 0.6057        | 10.0  | 1250 | 0.4558          | 0.779    |
| 0.6057        | 11.0  | 1375 | 0.4346          | 0.793    |
| 0.4583        | 12.0  | 1500 | 0.4215          | 0.801    |
| 0.4583        | 13.0  | 1625 | 0.4094          | 0.815    |
| 0.4583        | 14.0  | 1750 | 0.4027          | 0.816    |
| 0.4583        | 15.0  | 1875 | 0.3962          | 0.82     |
| 0.3847        | 16.0  | 2000 | 0.3926          | 0.823    |
| 0.3847        | 17.0  | 2125 | 0.3873          | 0.835    |
| 0.3847        | 18.0  | 2250 | 0.3857          | 0.833    |
| 0.3847        | 19.0  | 2375 | 0.3823          | 0.836    |
| 0.3565        | 20.0  | 2500 | 0.3819          | 0.837    |
| 0.3565        | 21.0  | 2625 | 0.3850          | 0.837    |
| 0.3565        | 22.0  | 2750 | 0.3806          | 0.839    |
| 0.3565        | 23.0  | 2875 | 0.3801          | 0.84     |
| 0.3348        | 24.0  | 3000 | 0.3808          | 0.842    |
| 0.3348        | 25.0  | 3125 | 0.3803          | 0.842    |


### Framework versions

- PEFT 0.8.2
- Transformers 4.38.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.1