---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: bert-base-uncased-coffee20230113
  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-coffee20230113

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: 4.9112

## 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
- lr_scheduler_warmup_steps: 500
- num_epochs: 15

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 86   | 4.5257          |
| 5.3762        | 2.0   | 172  | 3.1774          |
| 3.2552        | 3.0   | 258  | 2.7228          |
| 2.227         | 4.0   | 344  | 2.5844          |
| 1.6128        | 5.0   | 430  | 2.8589          |
| 1.098         | 6.0   | 516  | 2.8712          |
| 0.7646        | 7.0   | 602  | 3.4380          |
| 0.7646        | 8.0   | 688  | 3.6037          |
| 0.4805        | 9.0   | 774  | 4.1493          |
| 0.3258        | 10.0  | 860  | 4.2875          |
| 0.2224        | 11.0  | 946  | 4.7041          |
| 0.1477        | 12.0  | 1032 | 4.3993          |
| 0.0699        | 13.0  | 1118 | 4.7922          |
| 0.0377        | 14.0  | 1204 | 5.0445          |
| 0.0377        | 15.0  | 1290 | 4.9112          |


### Framework versions

- Transformers 4.25.1
- Pytorch 1.11.0+cu113
- Datasets 2.8.0
- Tokenizers 0.13.2