metadata
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: trainer
results: []
trainer
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6671
- Accuracy: {'accuracy': 0.6136936111747194}
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: 0.001
- train_batch_size: 4
- eval_batch_size: 4
- 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 | Accuracy |
|---|---|---|---|---|
| 0.6652 | 1.0 | 5096 | 0.6672 | {'accuracy': 0.6136936111747194} |
| 0.6621 | 2.0 | 10192 | 0.6675 | {'accuracy': 0.6136936111747194} |
| 0.6702 | 3.0 | 15288 | 0.6711 | {'accuracy': 0.6136936111747194} |
| 0.6748 | 4.0 | 20384 | 0.6705 | {'accuracy': 0.6136936111747194} |
| 0.6693 | 5.0 | 25480 | 0.6674 | {'accuracy': 0.6136936111747194} |
| 0.6594 | 6.0 | 30576 | 0.6672 | {'accuracy': 0.6136936111747194} |
| 0.6663 | 7.0 | 35672 | 0.6682 | {'accuracy': 0.6136936111747194} |
| 0.6738 | 8.0 | 40768 | 0.6671 | {'accuracy': 0.6136936111747194} |
| 0.6669 | 9.0 | 45864 | 0.6671 | {'accuracy': 0.6136936111747194} |
| 0.6654 | 10.0 | 50960 | 0.6671 | {'accuracy': 0.6136936111747194} |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2