transformers safetensors stablelm_epoch text-generation choo-choo trl sft generated_from_trainer conversational custom_code dataset:generator base_model:stabilityai/stablelm-2-1_6b license:other autotrain_compatible region:us
---
license: other
base_model: stabilityai/stablelm-2-1_6b
tags:
- choo-choo
- trl
- sft
- generated_from_trainer
- trl
- sft
- generated_from_trainer
datasets:
- generator
model-index:
- name: stablelm-2-1.6-disticoder-v0.1
  results: []
---

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# stablelm-2-1.6-disticoder-v0.1

This model is a fine-tuned version of [stabilityai/stablelm-2-1_6b](https://huggingface.co/stabilityai/stablelm-2-1_6b) on the argilla/DistiCoder-dpo-binarized dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1315

## 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.7319        | 0.44  | 5    | 1.5441          |
| 1.3425        | 0.89  | 10   | 1.2968          |
| 1.1709        | 1.33  | 15   | 1.2151          |
| 1.0994        | 1.78  | 20   | 1.1605          |
| 1.0287        | 2.22  | 25   | 1.1382          |
| 1.0303        | 2.67  | 30   | 1.1315          |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.1.1+cu121
- Datasets 2.16.1
- Tokenizers 0.15.2
