metadata
license: apache-2.0
base_model: eric-mc2/distilbert-foundation-category-c6
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: distilbert-foundation-category-c6-finetune
results: []
distilbert-foundation-category-c6-finetune
This model is a fine-tuned version of eric-mc2/distilbert-foundation-category-c6 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3864
- Accuracy: 0.915
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.231 | 1.0 | 113 | 0.2673 | 0.915 |
| 0.132 | 2.0 | 226 | 0.3310 | 0.91 |
| 0.0894 | 3.0 | 339 | 0.3734 | 0.915 |
| 0.0697 | 4.0 | 452 | 0.3840 | 0.915 |
| 0.0559 | 5.0 | 565 | 0.3864 | 0.915 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0