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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
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