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---
license: apache-2.0
base_model: distilbert-base-cased
tags:
- generated_from_trainer
model-index:
- name: da_distilbert
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# da_distilbert
This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5313
## 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
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log | 1.0 | 260 | 1.9208 |
| 2.097 | 2.0 | 520 | 1.7572 |
| 2.097 | 3.0 | 780 | 1.6870 |
| 1.7429 | 4.0 | 1040 | 1.6521 |
| 1.7429 | 5.0 | 1300 | 1.5971 |
| 1.6439 | 6.0 | 1560 | 1.5656 |
| 1.6439 | 7.0 | 1820 | 1.5594 |
| 1.5806 | 8.0 | 2080 | 1.5403 |
| 1.5806 | 9.0 | 2340 | 1.5147 |
| 1.538 | 10.0 | 2600 | 1.5313 |
### Framework versions
- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
|