metadata
library_name: transformers
license: mit
base_model: almanach/camembert-base
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: model
results: []
model
This model is a fine-tuned version of almanach/camembert-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0103
- Precision: 0.0
- Recall: 0.0
- F1: 0.0
- Accuracy: 0.9982
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 160 | 0.0086 | 0.0 | 0.0 | 0.0 | 0.9981 |
| No log | 2.0 | 320 | 0.0091 | 0.0 | 0.0 | 0.0 | 0.9984 |
| No log | 3.0 | 480 | 0.0101 | 0.0 | 0.0 | 0.0 | 0.9982 |
| 0.001 | 4.0 | 640 | 0.0093 | 0.0 | 0.0 | 0.0 | 0.9984 |
| 0.001 | 5.0 | 800 | 0.0094 | 0.0 | 0.0 | 0.0 | 0.9980 |
| 0.001 | 6.0 | 960 | 0.0091 | 0.0 | 0.0 | 0.0 | 0.9983 |
| 0.0007 | 7.0 | 1120 | 0.0102 | 0.0 | 0.0 | 0.0 | 0.9984 |
| 0.0007 | 8.0 | 1280 | 0.0108 | 0.0 | 0.0 | 0.0 | 0.9981 |
| 0.0007 | 9.0 | 1440 | 0.0103 | 0.0 | 0.0 | 0.0 | 0.9982 |
| 0.0009 | 10.0 | 1600 | 0.0103 | 0.0 | 0.0 | 0.0 | 0.9982 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.1.0
- Tokenizers 0.19.1