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

# my_awesome_wnut_model

This model is a fine-tuned version of [distilbert/distilbert-base-cased](https://huggingface.co/distilbert/distilbert-base-cased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1117
- Precision: 0.0
- Recall: 0.0
- F1: 0.0
- Accuracy: 0.9592

## 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
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1  | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:---:|:--------:|
| No log        | 1.0   | 147  | 0.2772          | 0.0       | 0.0    | 0.0 | 0.9110   |
| No log        | 2.0   | 294  | 0.1972          | 0.0       | 0.0    | 0.0 | 0.9223   |
| No log        | 3.0   | 441  | 0.1520          | 0.0       | 0.0    | 0.0 | 0.9420   |
| 0.2425        | 4.0   | 588  | 0.1341          | 0.0       | 0.0    | 0.0 | 0.9511   |
| 0.2425        | 5.0   | 735  | 0.1241          | 0.0       | 0.0    | 0.0 | 0.9538   |
| 0.2425        | 6.0   | 882  | 0.1184          | 0.0       | 0.0    | 0.0 | 0.9572   |
| 0.1179        | 7.0   | 1029 | 0.1154          | 0.0       | 0.0    | 0.0 | 0.9574   |
| 0.1179        | 8.0   | 1176 | 0.1131          | 0.0       | 0.0    | 0.0 | 0.9583   |
| 0.1179        | 9.0   | 1323 | 0.1120          | 0.0       | 0.0    | 0.0 | 0.9594   |
| 0.1179        | 10.0  | 1470 | 0.1117          | 0.0       | 0.0    | 0.0 | 0.9592   |


### Framework versions

- Transformers 4.56.0
- Pytorch 2.8.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.0