metadata
license: mit
base_model: camembert-base
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: VogagenRelation
results: []
VogagenRelation
This model is a fine-tuned version of camembert-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6952
- Accuracy: 0.5
- Precision: 0.5
- Recall: 1.0
- F1: 0.6667
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: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| No log | 0.21 | 100 | 0.6928 | 0.5 | 0.5 | 1.0 | 0.6667 |
| No log | 0.42 | 200 | 0.7024 | 0.5 | 0.0 | 0.0 | 0.0 |
| No log | 0.62 | 300 | 0.7194 | 0.5 | 0.0 | 0.0 | 0.0 |
| No log | 0.83 | 400 | 0.6944 | 0.4992 | 0.0 | 0.0 | 0.0 |
| 0.6974 | 1.04 | 500 | 0.6973 | 0.5 | 0.5 | 1.0 | 0.6667 |
| 0.6974 | 1.25 | 600 | 0.7078 | 0.5 | 0.5 | 1.0 | 0.6667 |
| 0.6974 | 1.46 | 700 | 0.6945 | 0.5 | 0.5 | 1.0 | 0.6667 |
| 0.6974 | 1.66 | 800 | 0.6942 | 0.5 | 0.5 | 1.0 | 0.6667 |
| 0.6974 | 1.87 | 900 | 0.6945 | 0.5 | 0.5 | 1.0 | 0.6667 |
| 0.6962 | 2.08 | 1000 | 0.6932 | 0.4992 | 0.4 | 0.0031 | 0.0062 |
| 0.6962 | 2.29 | 1100 | 0.6952 | 0.5 | 0.5 | 1.0 | 0.6667 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.1.0+cu121
- Datasets 2.14.5
- Tokenizers 0.14.1