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---
license: mit
base_model: camembert-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: camembert_classification_tools
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_classification_tools
This model is a fine-tuned version of [camembert-base](https://huggingface.co/camembert-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5829
- Accuracy: 0.85
## 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: 0.0001
- train_batch_size: 24
- eval_batch_size: 192
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 30
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log | 1.0 | 5 | 2.0695 | 0.225 |
| No log | 2.0 | 10 | 1.9801 | 0.35 |
| No log | 3.0 | 15 | 1.8056 | 0.425 |
| No log | 4.0 | 20 | 1.5897 | 0.7 |
| No log | 5.0 | 25 | 1.4156 | 0.75 |
| No log | 6.0 | 30 | 1.2836 | 0.7 |
| No log | 7.0 | 35 | 1.1515 | 0.775 |
| No log | 8.0 | 40 | 1.0282 | 0.775 |
| No log | 9.0 | 45 | 0.9576 | 0.775 |
| No log | 10.0 | 50 | 0.9092 | 0.775 |
| No log | 11.0 | 55 | 0.8485 | 0.775 |
| No log | 12.0 | 60 | 0.8174 | 0.8 |
| No log | 13.0 | 65 | 0.7209 | 0.85 |
| No log | 14.0 | 70 | 0.6694 | 0.825 |
| No log | 15.0 | 75 | 0.6861 | 0.85 |
| No log | 16.0 | 80 | 0.6568 | 0.85 |
| No log | 17.0 | 85 | 0.6391 | 0.85 |
| No log | 18.0 | 90 | 0.6134 | 0.825 |
| No log | 19.0 | 95 | 0.6149 | 0.8 |
| No log | 20.0 | 100 | 0.6222 | 0.825 |
| No log | 21.0 | 105 | 0.6155 | 0.825 |
| No log | 22.0 | 110 | 0.5882 | 0.825 |
| No log | 23.0 | 115 | 0.5737 | 0.85 |
| No log | 24.0 | 120 | 0.5858 | 0.85 |
| No log | 25.0 | 125 | 0.5933 | 0.825 |
| No log | 26.0 | 130 | 0.5870 | 0.85 |
| No log | 27.0 | 135 | 0.5859 | 0.85 |
| No log | 28.0 | 140 | 0.5840 | 0.85 |
| No log | 29.0 | 145 | 0.5832 | 0.85 |
| No log | 30.0 | 150 | 0.5829 | 0.85 |
### Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.14.1
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