---
license: mit
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
model-index:
- name: distilcamembert-cae-behavior
  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. -->

# distilcamembert-cae-behavior

This model is a fine-tuned version of [cmarkea/distilcamembert-base](https://huggingface.co/cmarkea/distilcamembert-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9041
- Precision: 0.6838
- Recall: 0.6709
- F1: 0.6656

## 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
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5.0

### Training results

| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|
| 1.1837        | 1.0   | 40   | 1.0310          | 0.1956    | 0.4304 | 0.2690 |
| 1.0456        | 2.0   | 80   | 1.0155          | 0.5603    | 0.5570 | 0.5047 |
| 0.8225        | 3.0   | 120  | 0.9677          | 0.7190    | 0.6582 | 0.6522 |
| 0.5927        | 4.0   | 160  | 0.9041          | 0.6838    | 0.6709 | 0.6656 |
| 0.4341        | 5.0   | 200  | 0.8963          | 0.6608    | 0.6456 | 0.6442 |


### Framework versions

- Transformers 4.24.0
- Pytorch 1.12.1+cu113
- Datasets 2.7.1
- Tokenizers 0.13.2