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# pythia-1b-sft-full

This model is a fine-tuned version of [EleutherAI/pythia-1b-deduped](https://huggingface.co/EleutherAI/pythia-1b-deduped) on the DatPySci/SPIN_iter0 dataset.
It achieves the following results on the evaluation set:
- Loss: 1.8297

## 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: 8
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- total_eval_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.7825        | 1.0   | 439  | 1.8297          |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.2.0
- Datasets 2.17.0
- Tokenizers 0.15.2

{"license": "apache-2.0", "tags": ["alignment-handbook", "trl", "sft", "generated_from_trainer", "trl", "sft", "generated_from_trainer"], "datasets": ["DatPySci/SPIN_iter0"], "base_model": "EleutherAI/pythia-1b-deduped", "model-index": [{"name": "pythia-1b-sft-full", "results": []}]}
transformers safetensors gpt_neox text-generation alignment-handbook trl sft generated_from_trainer conversational dataset:DatPySci/SPIN_iter0 base_model:EleutherAI/pythia-1b-deduped license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us