---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: DuplicatiDistillBert
  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. -->

# DuplicatiDistillBert

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:
- eval_loss: 0.5776
- eval_Accuracy: 0.8765
- eval_F1_macro: 0.8702
- eval_F1_class_0: 0.8768
- eval_F1_class_1: 0.7797
- eval_F1_class_2: 0.9077
- eval_F1_class_3: 0.9000
- eval_F1_class_4: 0.9083
- eval_F1_class_5: 0.8703
- eval_F1_class_6: 0.8330
- eval_F1_class_7: 0.9455
- eval_F1_class_8: 0.9642
- eval_F1_class_9: 0.8581
- eval_F1_class_10: 0.7760
- eval_F1_class_11: 0.8639
- eval_F1_class_12: 0.8035
- eval_F1_class_13: 0.9109
- eval_F1_class_14: 0.8374
- eval_F1_class_15: 0.7641
- eval_F1_class_16: 0.7246
- eval_F1_class_17: 0.9771
- eval_F1_class_18: 0.9031
- eval_F1_class_19: 1.0
- eval_runtime: 106.104
- eval_samples_per_second: 64.993
- eval_steps_per_second: 8.124
- epoch: 0.21
- step: 1008

## 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0

### Framework versions

- Transformers 4.32.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3