---
tags:
- generated_from_keras_callback
model-index:
- name: distilbert_complete
  results: []
---

<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->

# distilbert_complete

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.9232
- Validation Loss: 0.9128
- Epoch: 12

## 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:
- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32

### Training results

| Train Loss | Validation Loss | Epoch |
|:----------:|:---------------:|:-----:|
| 0.9319     | 0.9178          | 0     |
| 0.9310     | 0.9167          | 1     |
| 0.9301     | 0.9170          | 2     |
| 0.9300     | 0.9161          | 3     |
| 0.9295     | 0.9157          | 4     |
| 0.9294     | 0.9153          | 5     |
| 0.9274     | 0.9122          | 6     |
| 0.9267     | 0.9139          | 7     |
| 0.9261     | 0.9139          | 8     |
| 0.9257     | 0.9120          | 9     |
| 0.9247     | 0.9145          | 10    |
| 0.9236     | 0.9131          | 11    |
| 0.9232     | 0.9128          | 12    |


### Framework versions

- Transformers 4.20.1
- TensorFlow 2.8.2
- Datasets 2.3.2
- Tokenizers 0.12.1