---
library_name: transformers
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: td7
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# td7

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: 0.0115
- Accuracy: 1.0
- F1: 1.0

## 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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1  |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---:|
| 0.3161        | 1.0   | 20   | 0.2212          | 1.0      | 1.0 |
| 0.0597        | 2.0   | 40   | 0.0411          | 1.0      | 1.0 |
| 0.0228        | 3.0   | 60   | 0.0175          | 1.0      | 1.0 |
| 0.0175        | 4.0   | 80   | 0.0126          | 1.0      | 1.0 |
| 0.0166        | 5.0   | 100  | 0.0115          | 1.0      | 1.0 |


### Framework versions

- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1