metadata
library_name: transformers
license: mit
base_model: camembert-base
tags:
- hyperparameter-search
- best-trial
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: hpo2_to_push
results: []
hpo2_to_push
This model is a fine-tuned version of camembert-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0481
- Accuracy: 0.9895
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.0852 | 1.0 | 1797 | 0.0425 | 0.9871 |
| 0.03 | 2.0 | 3594 | 0.0481 | 0.9887 |
| 0.0023 | 3.0 | 5391 | 0.0648 | 0.9881 |
| 0.0118 | 4.0 | 7188 | 0.0481 | 0.9895 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1