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# training

This model was trained from scratch on the RaiBP/openwebtext2-first-30-chunks-ablation-full 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: 0.005
- train_batch_size: 7
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 5
- total_train_batch_size: 70
- total_eval_batch_size: 16
- optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 1.0
- mixed_precision_training: Native AMP

### Training results



### Framework versions

- Transformers 4.37.0.dev0
- Pytorch 1.13.0
- Datasets 2.16.0
- Tokenizers 0.15.0

{"tags": ["generated_from_trainer"], "datasets": ["RaiBP/openwebtext2-first-30-chunks-ablation-full"], "model-index": [{"name": "training", "results": []}]}
transformers tensorboard safetensors gpt2 text-generation generated_from_trainer dataset:RaiBP/openwebtext2-first-30-chunks-ablation-full autotrain_compatible endpoints_compatible text-generation-inference region:us