|
--- |
|
license: mit |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: camembert_base_finetunned_one_thema_balanced_7_epochs |
|
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_finetunned_one_thema_balanced_7_epochs |
|
|
|
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: 1.6875 |
|
|
|
## 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 |
|
- num_epochs: 7 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:-----:|:----:|:---------------:| |
|
| No log | 1.0 | 116 | 2.2337 | |
|
| No log | 2.0 | 232 | 1.9735 | |
|
| No log | 3.0 | 348 | 1.7970 | |
|
| No log | 4.0 | 464 | 1.7619 | |
|
| 1.8895 | 5.0 | 580 | 1.7071 | |
|
| 1.8895 | 6.0 | 696 | 1.6754 | |
|
| 1.8895 | 7.0 | 812 | 1.6875 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.29.2 |
|
- Pytorch 2.0.1+cu117 |
|
- Datasets 2.12.0 |
|
- Tokenizers 0.13.3 |
|
|
