---
library_name: peft
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: results_multilabel_lora
  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. -->

# results_multilabel_lora

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: 0.3776
- Exact Match Accuracy: 0.76

## 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Exact Match Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------------------:|
| No log        | 1.0   | 50   | 0.4173          | 0.75                 |
| No log        | 2.0   | 100  | 0.3948          | 0.75                 |
| No log        | 3.0   | 150  | 0.3874          | 0.76                 |
| No log        | 4.0   | 200  | 0.3834          | 0.76                 |
| No log        | 5.0   | 250  | 0.3807          | 0.76                 |
| No log        | 6.0   | 300  | 0.3797          | 0.76                 |
| No log        | 7.0   | 350  | 0.3788          | 0.76                 |
| No log        | 8.0   | 400  | 0.3779          | 0.76                 |
| No log        | 9.0   | 450  | 0.3777          | 0.76                 |
| 0.3811        | 10.0  | 500  | 0.3776          | 0.76                 |


### Framework versions

- PEFT 0.14.0
- Transformers 4.50.0
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1