metadata
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: distilbert-foundation-category-funders
results: []
distilbert-foundation-category-funders
This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.8145
- Accuracy: 0.7429
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 |
|---|---|---|---|---|
| 1.2788 | 1.0 | 40 | 1.0379 | 0.7429 |
| 0.7314 | 2.0 | 80 | 0.8949 | 0.7429 |
| 0.5839 | 3.0 | 120 | 0.8499 | 0.7429 |
| 0.5079 | 4.0 | 160 | 0.8173 | 0.7429 |
| 0.4641 | 5.0 | 200 | 0.8145 | 0.7429 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0