---
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: 1.4144
- F1: 0.7853

## 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  | 0.4276          | 0.4923 |
| No log        | 2.0   | 442  | 0.3833          | 0.6505 |
| 0.4591        | 3.0   | 663  | 0.3890          | 0.7232 |
| 0.4591        | 4.0   | 884  | 0.6723          | 0.7619 |
| 0.231         | 5.0   | 1105 | 1.0259          | 0.7746 |
| 0.231         | 6.0   | 1326 | 1.4144          | 0.7853 |
| 0.114         | 7.0   | 1547 | 1.8246          | 0.7744 |
| 0.114         | 8.0   | 1768 | 1.7844          | 0.7796 |
| 0.114         | 9.0   | 1989 | 1.8719          | 0.7695 |
| 0.0319        | 10.0  | 2210 | 1.8364          | 0.7706 |


### Framework versions

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