---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: distilbert-base-uncased-finetuned-nlp-letters-full_text-degendered-class-weighted
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# distilbert-base-uncased-finetuned-nlp-letters-full_text-degendered-class-weighted

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: 0.0045
- F1: 0.9964

## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| No log        | 1.0   | 165  | 0.0091          | 0.9946 |
| No log        | 2.0   | 330  | 0.0045          | 0.9964 |
| No log        | 3.0   | 495  | 0.0133          | 0.9964 |
| 0.0233        | 4.0   | 660  | 0.0169          | 0.9964 |
| 0.0233        | 5.0   | 825  | 0.0185          | 0.9964 |
| 0.0233        | 6.0   | 990  | 0.0197          | 0.9964 |
| 0.0002        | 7.0   | 1155 | 0.0204          | 0.9964 |
| 0.0002        | 8.0   | 1320 | 0.0209          | 0.9964 |
| 0.0002        | 9.0   | 1485 | 0.0212          | 0.9964 |
| 0.0001        | 10.0  | 1650 | 0.0213          | 0.9964 |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1