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

# DuplicatesUnique

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: 1.7513
- eval_Accuracy: 0.3885
- eval_F1_macro: 0.1389
- eval_F1_class_0: 0.8712
- eval_F1_class_1: 0.6667
- eval_F1_class_2: 0.2133
- eval_F1_class_3: 0.0
- eval_F1_class_4: 0.0
- eval_F1_class_5: 0.0
- eval_F1_class_6: 0.0187
- eval_F1_class_7: 0.0
- eval_F1_class_8: 0.0
- eval_F1_class_9: 0.8726
- eval_F1_class_10: 0.0147
- eval_F1_class_11: 0.0
- eval_F1_class_12: 0.1204
- eval_F1_class_13: 0.0
- eval_F1_class_14: 0.0
- eval_F1_class_15: 0.0
- eval_F1_class_16: 0.0
- eval_F1_class_17: 0.0
- eval_F1_class_18: 0.0
- eval_F1_class_19: 0.0
- eval_runtime: 16.4781
- eval_samples_per_second: 68.576
- eval_steps_per_second: 8.618
- epoch: 0.77
- step: 5000

## 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

### Framework versions

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