---
license: apache-2.0
base_model: distilbert-base-cased
tags:
- generated_from_keras_callback
model-index:
- name: nikoslefkos/rebert_trex_reformed_v3
  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. -->

# nikoslefkos/rebert_trex_reformed_v3

This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on trex for 250 labels.
It achieves the following results on the evaluation set:
- Train Loss: 0.4216
- Train Accuracy: 0.8541
- Validation Loss: 0.8042
- Validation Accuracy: 0.7628
- Epoch: 4

## 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': 0.01, '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': 1e-05, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
- training_precision: float32

### Training results

| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
|:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
| 1.4168     | 0.6536         | 0.9242          | 0.7294              | 0     |
| 0.8272     | 0.7506         | 0.8106          | 0.7534              | 1     |
| 0.6786     | 0.7826         | 0.7871          | 0.7587              | 2     |
| 0.5718     | 0.8100         | 0.7981          | 0.7571              | 3     |
| 0.4216     | 0.8541         | 0.8042          | 0.7628              | 4     |


### Framework versions

- Transformers 4.34.0
- TensorFlow 2.13.0
- Datasets 2.14.5
- Tokenizers 0.14.1