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# distilgpt2-finetuned-3GPP-5G

This model is a fine-tuned version of [AlaGrine/distilgpt2-finetuned-3GPP-5G](https://huggingface.co/AlaGrine/distilgpt2-finetuned-3GPP-5G) on an unknown dataset.

## 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: 48
- eval_batch_size: 48
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 7394 | 2.7276          |


### Framework versions

- Transformers 4.36.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.15.0

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "AlaGrine/distilgpt2-finetuned-3GPP-5G", "model-index": [{"name": "distilgpt2-finetuned-3GPP-5G", "results": []}]}
transformers tensorboard safetensors gpt2 text-generation generated_from_trainer base_model:AlaGrine/distilgpt2-finetuned-3GPP-5G license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us