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# rm-ckpt-reward-p100-s42-tiny-random-LlamaForCausalLM-debug

This model is a fine-tuned version of [HuggingFaceH4/tiny-random-LlamaForCausalLM](https://huggingface.co/HuggingFaceH4/tiny-random-LlamaForCausalLM) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4157
- Accuracy: 0.505

## 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: 1.67e-06
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 20
- total_train_batch_size: 160
- total_eval_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.4147        | 0.4   | 1    | 1.4157          | 0.505    |
| 1.4185        | 0.8   | 2    | 1.4157          | 0.505    |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0

{"tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "HuggingFaceH4/tiny-random-LlamaForCausalLM", "model-index": [{"name": "rm-ckpt-reward-p100-s42-tiny-random-LlamaForCausalLM-debug", "results": []}]}
pytorch generated_from_trainer base_model:HuggingFaceH4/tiny-random-LlamaForCausalLM region:us