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---
license: mit
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
model-index:
- name: camembert-base-cae-emotion
  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. -->

# camembert-base-cae-emotion

This model is a fine-tuned version of [camembert-base](https://huggingface.co/camembert-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7867
- Precision: 0.7824
- Recall: 0.7757
- F1: 0.7757

## 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: 10.0

### Training results

| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|
| 1.9198        | 1.0   | 54   | 1.4555          | 0.2097    | 0.4579 | 0.2877 |
| 1.3396        | 2.0   | 108  | 1.2146          | 0.2097    | 0.4579 | 0.2877 |
| 1.1006        | 3.0   | 162  | 0.9712          | 0.6010    | 0.6449 | 0.6054 |
| 0.7635        | 4.0   | 216  | 0.8224          | 0.6939    | 0.7290 | 0.7057 |
| 0.4785        | 5.0   | 270  | 0.7867          | 0.7824    | 0.7757 | 0.7757 |
| 0.3129        | 6.0   | 324  | 0.8196          | 0.7882    | 0.7570 | 0.7625 |
| 0.2016        | 7.0   | 378  | 0.9116          | 0.8078    | 0.7009 | 0.7295 |
| 0.1395        | 8.0   | 432  | 0.9277          | 0.7536    | 0.7103 | 0.7219 |
| 0.121         | 9.0   | 486  | 0.9636          | 0.7626    | 0.7290 | 0.7367 |
| 0.0936        | 10.0  | 540  | 0.9722          | 0.8005    | 0.7383 | 0.7542 |


### Framework versions

- Transformers 4.20.1
- Pytorch 1.11.0+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1
