---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: distilbert_oscarth_0020
  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_oscarth_0020

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 1.4909
- Validation Loss: 1.4161
- Epoch: 19

## 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 |
|:----------:|:---------------:|:-----:|
| 4.1327     | 2.9983          | 0     |
| 2.7813     | 2.4562          | 1     |
| 2.4194     | 2.2066          | 2     |
| 2.2231     | 2.0562          | 3     |
| 2.0894     | 1.9450          | 4     |
| 1.9905     | 1.8621          | 5     |
| 1.9148     | 1.7941          | 6     |
| 1.8508     | 1.7363          | 7     |
| 1.7976     | 1.6909          | 8     |
| 1.7509     | 1.6488          | 9     |
| 1.7126     | 1.6124          | 10    |
| 1.6764     | 1.5835          | 11    |
| 1.6450     | 1.5521          | 12    |
| 1.6175     | 1.5282          | 13    |
| 1.5919     | 1.5045          | 14    |
| 1.5679     | 1.4833          | 15    |
| 1.5476     | 1.4627          | 16    |
| 1.5271     | 1.4498          | 17    |
| 1.5098     | 1.4270          | 18    |
| 1.4909     | 1.4161          | 19    |


### Framework versions

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