---
datasets:
- ola13/small-the_pile
language:
- en
metrics:
- accuracy
- code_eval
pipeline_tag: text-generation
tags:
- casual_lm
---
# Model Card for Model ID

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GPT-6B_Tuned_small_pile is a GPT-j-6B model trained on 0.1 million example of pile dataset.

n_embd: 4096, n_layer: 28, n_positions: 2048

Tuning Parameters:
  val_split_percent: 20,
  momentum: 0.9 
  train_batch_size (eff) : 32
  train_micro_batch: 16
  gradient_accumulation_steps: 2
  gradient_clipping: 0.5
  learning_rate: 0.00001
  weight_decay: 0.01
  lr_schedular: cosine
  lr_warmup_steps: 1000
  lr_decay: 0.1
  lr_decay_step: 2000
  mixed_precision: bf16



![image.png](https://s3.amazonaws.com/moonup/production/uploads/642bb1915df44ff245471fca/Ke-ShGT0sBVGEjrShxped.png)## Model Details

### Model Description

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- **Finetuned from model:** EleutherAI/gpt-j-6b 

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## How to Get Started with the Model

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## Training Details

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## Environmental Impact

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Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).

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