---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: my_awesome_model_concatenate_event_name_event_description_3
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# my_awesome_model_concatenate_event_name_event_description_3

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: 0.7943
- Accuracy: 0.8039

## 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: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 13   | 0.9979          | 0.5490   |
| No log        | 2.0   | 26   | 0.8601          | 0.8039   |
| No log        | 3.0   | 39   | 0.7943          | 0.8039   |


### Framework versions

- Transformers 4.32.1
- Pytorch 2.1.0+cpu
- Datasets 2.16.0
- Tokenizers 0.13.2