---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: distilbert-base-uncased-finetuned-nlp-letters-TEXT-all-class-weighted
  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. -->

# distilbert-base-uncased-finetuned-nlp-letters-TEXT-all-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: 1.1971
- F1: 0.8074

## 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   | 221  | 0.4626          | 0.4757 |
| No log        | 2.0   | 442  | 0.3475          | 0.5249 |
| 0.4696        | 3.0   | 663  | 0.3640          | 0.6746 |
| 0.4696        | 4.0   | 884  | 0.6535          | 0.7937 |
| 0.2406        | 5.0   | 1105 | 1.1971          | 0.8074 |
| 0.2406        | 6.0   | 1326 | 1.2543          | 0.8049 |
| 0.1092        | 7.0   | 1547 | 1.5411          | 0.8000 |
| 0.1092        | 8.0   | 1768 | 1.6698          | 0.8010 |
| 0.1092        | 9.0   | 1989 | 1.7257          | 0.8026 |
| 0.0402        | 10.0  | 2210 | 1.7488          | 0.8014 |


### Framework versions

- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1