---
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bert_cm
  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_cm

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: 0.4443
- Accuracy: 0.9210

## 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 | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 132  | 0.2634          | 0.8951   |
| No log        | 2.0   | 264  | 0.2139          | 0.9195   |
| No log        | 3.0   | 396  | 0.3145          | 0.9195   |
| 0.2227        | 4.0   | 528  | 0.3342          | 0.9286   |
| 0.2227        | 5.0   | 660  | 0.3804          | 0.9316   |
| 0.2227        | 6.0   | 792  | 0.3942          | 0.9362   |
| 0.2227        | 7.0   | 924  | 0.4372          | 0.9195   |
| 0.0101        | 8.0   | 1056 | 0.4211          | 0.9255   |
| 0.0101        | 9.0   | 1188 | 0.4334          | 0.9240   |
| 0.0101        | 10.0  | 1320 | 0.4443          | 0.9210   |


### Framework versions

- Transformers 4.42.4
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1