---
license: mit
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: ec_classfication_0502_roberta_base
  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_0502_roberta_base

This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2218
- F1: 0.8261

## 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: 15

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| No log        | 1.0   | 59   | 0.5035          | 0.6667 |
| No log        | 2.0   | 118  | 0.4384          | 0.8257 |
| No log        | 3.0   | 177  | 0.4558          | 0.8172 |
| No log        | 4.0   | 236  | 0.6789          | 0.8511 |
| No log        | 5.0   | 295  | 0.8515          | 0.8182 |
| No log        | 6.0   | 354  | 0.9891          | 0.8172 |
| No log        | 7.0   | 413  | 1.0469          | 0.8200 |
| No log        | 8.0   | 472  | 1.2050          | 0.8222 |
| 0.177         | 9.0   | 531  | 1.2098          | 0.8261 |
| 0.177         | 10.0  | 590  | 1.2588          | 0.8132 |
| 0.177         | 11.0  | 649  | 1.2539          | 0.8261 |
| 0.177         | 12.0  | 708  | 1.2014          | 0.8261 |
| 0.177         | 13.0  | 767  | 1.2437          | 0.8261 |
| 0.177         | 14.0  | 826  | 1.2202          | 0.8261 |
| 0.177         | 15.0  | 885  | 1.2218          | 0.8261 |


### Framework versions

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