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: 0.6531
- Accuracy: 0.8205
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 |
|---|---|---|---|---|
| 1.3785 | 1.0 | 44 | 0.9232 | 0.7949 |
| 0.7587 | 2.0 | 88 | 0.7502 | 0.8077 |
| 0.6042 | 3.0 | 132 | 0.6988 | 0.8077 |
| 0.5179 | 4.0 | 176 | 0.6622 | 0.8077 |
| 0.4601 | 5.0 | 220 | 0.6531 | 0.8205 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0