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# llama-wiki-standards_Lora_D0.01_Bl128_Ba16_Ga4

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8219

## 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: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.2922        | 1.0   | 707  | 0.9054          |
| 0.9017        | 2.0   | 1415 | 0.8385          |
| 0.8194        | 3.0   | 2121 | 0.8219          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.1+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0

{"tags": ["generated_from_trainer"], "model-index": [{"name": "llama-wiki-standards_Lora_D0.01_Bl128_Ba16_Ga4", "results": []}]}
transformers safetensors generated_from_trainer endpoints_compatible region:us