transformers tf distilbert fill-mask generated_from_keras_callback base_model:distilbert-base-uncased license:apache-2.0 autotrain_compatible endpoints_compatible region:us
---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_keras_callback
model-index:
- name: tunarebus/distilbert-base-uncased-finetuned-imdb
  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. -->

# tunarebus/distilbert-base-uncased-finetuned-imdb

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: 2.3941
- Validation Loss: 2.4019
- 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': {'module': 'transformers.optimization_tf', 'class_name': 'WarmUp', 'config': {'initial_learning_rate': 2e-05, 'decay_schedule_fn': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': -949, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'warmup_steps': 1000, 'power': 1.0, 'name': None}, 'registered_name': 'WarmUp'}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: mixed_float16

### Training results

| Train Loss | Validation Loss | Epoch |
|:----------:|:---------------:|:-----:|
| 2.3668     | 2.3869          | 0     |
| 2.4055     | 2.3907          | 1     |
| 2.3880     | 2.3301          | 2     |
| 2.3677     | 2.4133          | 3     |
| 2.3891     | 2.4048          | 4     |
| 2.3861     | 2.4312          | 5     |
| 2.4031     | 2.3794          | 6     |
| 2.3730     | 2.3708          | 7     |
| 2.4306     | 2.3910          | 8     |
| 2.4102     | 2.3748          | 9     |
| 2.4285     | 2.4060          | 10    |
| 2.4150     | 2.4133          | 11    |
| 2.3953     | 2.4465          | 12    |
| 2.4173     | 2.3387          | 13    |
| 2.3997     | 2.3561          | 14    |
| 2.4091     | 2.4217          | 15    |
| 2.4050     | 2.3832          | 16    |
| 2.4103     | 2.4008          | 17    |
| 2.4019     | 2.3851          | 18    |
| 2.3941     | 2.4019          | 19    |


### Framework versions

- Transformers 4.35.2
- TensorFlow 2.14.0
- Datasets 2.15.0
- Tokenizers 0.15.0
