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# LEDA-v6

This model is a fine-tuned version of [farshadafx/LEDA-v5](https://huggingface.co/farshadafx/LEDA-v5) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 5.3531

## 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: 0.009
- train_batch_size: 96
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 768
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 1000
- num_epochs: 4
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 672  | 5.3639          |
| No log        | 2.0   | 1345 | 5.3656          |
| No log        | 3.0   | 2017 | 5.3586          |
| No log        | 4.0   | 2688 | 5.3531          |


### Framework versions

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

{"tags": ["generated_from_trainer"], "base_model": "farshadafx/LEDA-v5", "model-index": [{"name": "LEDA-v6", "results": []}]}
transformers tensorboard safetensors gpt2 text-generation generated_from_trainer base_model:farshadafx/LEDA-v5 autotrain_compatible endpoints_compatible text-generation-inference region:us