---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: ec_classfication
  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. -->

# ec_classfication

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7927
- F1: 0.7727

## 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: 1e-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: 15

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| No log        | 1.0   | 61   | 0.6210          | 0.4068 |
| No log        | 2.0   | 122  | 0.4597          | 0.8261 |
| No log        | 3.0   | 183  | 0.4635          | 0.7917 |
| No log        | 4.0   | 244  | 0.5446          | 0.7342 |
| No log        | 5.0   | 305  | 0.5366          | 0.8000 |
| No log        | 6.0   | 366  | 0.6233          | 0.7789 |
| No log        | 7.0   | 427  | 0.6171          | 0.7955 |
| No log        | 8.0   | 488  | 0.6582          | 0.7955 |
| 0.2985        | 9.0   | 549  | 0.7222          | 0.7816 |
| 0.2985        | 10.0  | 610  | 0.7377          | 0.7865 |
| 0.2985        | 11.0  | 671  | 0.7467          | 0.7727 |
| 0.2985        | 12.0  | 732  | 0.7914          | 0.7826 |
| 0.2985        | 13.0  | 793  | 0.7886          | 0.7727 |
| 0.2985        | 14.0  | 854  | 0.7914          | 0.7727 |
| 0.2985        | 15.0  | 915  | 0.7927          | 0.7727 |


### Framework versions

- Transformers 4.27.3
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.2