---
library_name: transformers
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: 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. -->

# checkpoints

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3402
- Accuracy: 0.8646
- F1: 0.8427
- Precision: 0.8436
- Recall: 0.8445

## 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: 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
- lr_scheduler_warmup_steps: 200
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
| 2.4083        | 1.0   | 570  | 1.4497          | 0.7934   | 0.7845 | 0.7743    | 0.8101 |
| 1.3497        | 2.0   | 1140 | 1.3323          | 0.8307   | 0.8161 | 0.8101    | 0.8312 |
| 1.2217        | 3.0   | 1710 | 1.3071          | 0.8544   | 0.8341 | 0.8334    | 0.8380 |
| 1.1486        | 4.0   | 2280 | 1.2961          | 0.8539   | 0.8389 | 0.8394    | 0.8430 |
| 1.0651        | 5.0   | 2850 | 1.2995          | 0.8618   | 0.8428 | 0.8417    | 0.8470 |


### Framework versions

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