---
license: apache-2.0
base_model: thomasavare/distilbert-ft-test3
tags:
- generated_from_keras_callback
model-index:
- name: distilbert-ft-test3-pipeline-retrain
  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-ft-test3-pipeline-retrain

This model is a fine-tuned version of [thomasavare/distilbert-ft-test3](https://huggingface.co/thomasavare/distilbert-ft-test3) on 
[thomasavare/deepl_output](https://huggingface.co/datasets/thomasavare/deepl_output) (transcription).
It achieves the following results on the evaluation set:
- Train Loss: 1.2268
- Train Accuracy: 0.7180
- Epoch: 2

## 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': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': 5e-07, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
- training_precision: float32

### Training results

| Train Loss | Train Accuracy | Epoch |
|:----------:|:--------------:|:-----:|
| 1.2639     | 0.7020         | 0     |
| 1.2616     | 0.6940         | 1     |
| 1.2268     | 0.7180         | 2     |


### Framework versions

- Transformers 4.33.2
- TensorFlow 2.13.0
- Datasets 2.14.5
- Tokenizers 0.13.3