pytorch tensorboard gpt2 text-generation transformers generated_from_trainer
---
tags:
- generated_from_trainer
model_index:
- name: gpt2-medium-dutch-finetuned-text-generation
  results:
  - task:
      name: Causal Language Modeling
      type: text-generation
---

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# gpt2-medium-dutch-finetuned-text-generation

This model is a fine-tuned version of [GroNLP/gpt2-medium-dutch-embeddings](https://huggingface.co/GroNLP/gpt2-medium-dutch-embeddings) on an unkown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.9268

## 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:
- learning_rate: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 394  | 4.0144          |
| 3.3633        | 2.0   | 788  | 3.9379          |
| 2.7108        | 3.0   | 1182 | 3.9268          |


### Framework versions

- Transformers 4.9.0
- Pytorch 1.9.0+cu102
- Datasets 1.10.2
- Tokenizers 0.10.3
