---
library_name: transformers
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: zooguide_bert_checkpoints
  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. -->

# zooguide_bert_checkpoints

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0865
- Accuracy: 0.9667
- Macro F1: 0.9663

## 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: 3e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 7

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | Macro F1 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|
| 1.2682        | 1.0   | 132  | 0.2280          | 0.9689   | 0.9691   |
| 0.1257        | 2.0   | 264  | 0.1087          | 0.9689   | 0.9692   |
| 0.0717        | 3.0   | 396  | 0.0695          | 0.98     | 0.9798   |
| 0.0612        | 4.0   | 528  | 0.0621          | 0.9711   | 0.9711   |
| 0.0493        | 5.0   | 660  | 0.0580          | 0.9689   | 0.9691   |
| 0.0436        | 6.0   | 792  | 0.0607          | 0.9667   | 0.9669   |
| 0.0403        | 7.0   | 924  | 0.0628          | 0.96     | 0.9603   |


### Framework versions

- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2