metadata
license: apache-2.0
base_model: gc394/da_distilbert
tags:
- generated_from_trainer
model-index:
- name: ft_da_distilbert_gdp
results: []
ft_da_distilbert_gdp
This model is a fine-tuned version of gc394/da_distilbert on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0005
- Mape: 0.7853
- Rmse: 0.0215
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Mape | Rmse |
|---|---|---|---|---|---|
| No log | 1.0 | 25 | 0.0005 | 0.6568 | 0.0221 |
| No log | 2.0 | 50 | 0.0008 | 1.2260 | 0.0282 |
| No log | 3.0 | 75 | 0.0005 | 0.8126 | 0.0219 |
| No log | 4.0 | 100 | 0.0005 | 0.7617 | 0.0215 |
| No log | 5.0 | 125 | 0.0005 | 0.7150 | 0.0221 |
| No log | 6.0 | 150 | 0.0005 | 0.9076 | 0.0234 |
| No log | 7.0 | 175 | 0.0005 | 0.7852 | 0.0217 |
| No log | 8.0 | 200 | 0.0006 | 1.0439 | 0.0254 |
| No log | 9.0 | 225 | 0.0005 | 0.8113 | 0.0218 |
| No log | 10.0 | 250 | 0.0005 | 0.7853 | 0.0215 |
Framework versions
- Transformers 4.40.1
- Pytorch 2.4.0.dev20240502
- Datasets 2.19.0
- Tokenizers 0.19.1