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---
base_model: bert-base-cased
library_name: peft
license: apache-2.0
metrics:
- accuracy
tags:
- generated_from_trainer
model-index:
- name: bert-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. -->
# bert-lora
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: 0.4540
- Accuracy: 0.78
## 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: 15
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log | 1.0 | 125 | 0.6659 | 0.64 |
| No log | 2.0 | 250 | 0.6518 | 0.64 |
| No log | 3.0 | 375 | 0.6353 | 0.66 |
| 0.6613 | 4.0 | 500 | 0.6126 | 0.7 |
| 0.6613 | 5.0 | 625 | 0.5862 | 0.7 |
| 0.6613 | 6.0 | 750 | 0.5677 | 0.68 |
| 0.6613 | 7.0 | 875 | 0.5350 | 0.72 |
| 0.5607 | 8.0 | 1000 | 0.5163 | 0.74 |
| 0.5607 | 9.0 | 1125 | 0.4980 | 0.74 |
| 0.5607 | 10.0 | 1250 | 0.4821 | 0.75 |
| 0.5607 | 11.0 | 1375 | 0.4738 | 0.77 |
| 0.4757 | 12.0 | 1500 | 0.4633 | 0.78 |
| 0.4757 | 13.0 | 1625 | 0.4574 | 0.78 |
| 0.4757 | 14.0 | 1750 | 0.4553 | 0.78 |
| 0.4757 | 15.0 | 1875 | 0.4540 | 0.78 |
### Framework versions
- PEFT 0.13.0
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1 |