---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: lab9_model_bert
  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. -->

# lab9_model_bert

This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6498

## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 50   | 3.6137          |
| No log        | 2.0   | 100  | 1.9421          |
| No log        | 3.0   | 150  | 1.2792          |
| No log        | 4.0   | 200  | 1.0015          |
| No log        | 5.0   | 250  | 0.8056          |
| No log        | 6.0   | 300  | 0.7624          |
| No log        | 7.0   | 350  | 0.6635          |
| No log        | 8.0   | 400  | 0.6740          |
| No log        | 9.0   | 450  | 0.6580          |
| 1.4267        | 10.0  | 500  | 0.6498          |


### Framework versions

- Transformers 4.25.1
- Pytorch 1.13.0+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2