safetensors generated_from_trainer dataset:glue base_model:bert-base-uncased license:apache-2.0 region:us
---
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
- f1
model-index:
- name: bert-base-uncased-mrpc-lora-epochs-10-lr-0.0005
  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-base-uncased-mrpc-lora-epochs-10-lr-0.0005

This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the glue dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1795
- Accuracy: 0.8
- F1: 0.8611

## 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: 0.0005
- train_batch_size: 32
- eval_batch_size: 32
- seed: 28
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.06
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| No log        | 1.0   | 112  | 0.5047          | 0.76     | 0.8333 |
| No log        | 2.0   | 224  | 0.4400          | 0.78     | 0.8358 |
| No log        | 3.0   | 336  | 0.5103          | 0.78     | 0.8406 |
| No log        | 4.0   | 448  | 0.6321          | 0.78     | 0.8382 |
| 0.3586        | 5.0   | 560  | 0.8909          | 0.73     | 0.8    |
| 0.3586        | 6.0   | 672  | 0.8763          | 0.77     | 0.8369 |
| 0.3586        | 7.0   | 784  | 1.0331          | 0.8      | 0.8571 |
| 0.3586        | 8.0   | 896  | 1.1871          | 0.8      | 0.8611 |
| 0.0479        | 9.0   | 1008 | 1.1310          | 0.79     | 0.8552 |
| 0.0479        | 10.0  | 1120 | 1.1795          | 0.8      | 0.8611 |


### Framework versions

- Transformers 4.32.0.dev0
- Pytorch 2.0.1
- Datasets 2.14.4
- Tokenizers 0.13.3
