
# snip-igel-100

<!-- Provide a quick summary of what the model is/does. -->

snip-igel-100
Version 1.0 / 13 April 2023

An adapter for [IGEL](https://huggingface.co/philschmid/instruct-igel-001) to generate german news snippets with human written instructions

See [snip-igel-500](https://huggingface.co/snipaid/snip-igel-500) for the full model description. We repeated fine-tuning with gradually increased amounts of training data, to see the difference.

# Environmental Impact

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

Hardware Type: RTX 4090  
Hours used: 21min 57s  
Cloud Provider: Vast.ai  
Compute Region: Poland  
Carbon Emitted: ~0.11 kg of CO2e
{"language": ["de"], "license": "mit", "tags": ["title generation", "headline-generation", "teaser generation", "keyword generation", "tweet generation", "news"], "inference": false}
title generation headline-generation teaser generation keyword generation tweet generation news de license:mit region:us
TAGS
#title generation #headline-generation #teaser generation #keyword generation #tweet generation #news #de #license-mit #region-us 


# snip-igel-100



snip-igel-100
Version 1.0 / 13 April 2023

An adapter for IGEL to generate german news snippets with human written instructions

See snip-igel-500 for the full model description. We repeated fine-tuning with gradually increased amounts of training data, to see the difference.

# Environmental Impact

Carbon emissions were estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

Hardware Type: RTX 4090  
Hours used: 21min 57s  
Cloud Provider: URL  
Compute Region: Poland  
Carbon Emitted: ~0.11 kg of CO2e
# snip-igel-100



snip-igel-100
Version 1.0 / 13 April 2023

An adapter for IGEL to generate german news snippets with human written instructions

See snip-igel-500 for the full model description. We repeated fine-tuning with gradually increased amounts of training data, to see the difference. # Environmental Impact

Carbon emissions were estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

Hardware Type: RTX 4090  
Hours used: 21min 57s  
Cloud Provider: URL  
Compute Region: Poland  
Carbon Emitted: ~0.11 kg of CO2e
TAGS
#title generation #headline-generation #teaser generation #keyword generation #tweet generation #news #de #license-mit #region-us 
 # snip-igel-100



snip-igel-100
Version 1.0 / 13 April 2023

An adapter for IGEL to generate german news snippets with human written instructions

See snip-igel-500 for the full model description. We repeated fine-tuning with gradually increased amounts of training data, to see the difference. # Environmental Impact

Carbon emissions were estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

Hardware Type: RTX 4090  
Hours used: 21min 57s  
Cloud Provider: URL  
Compute Region: Poland  
Carbon Emitted: ~0.11 kg of CO2e
TAGS
#title generation #headline-generation #teaser generation #keyword generation #tweet generation #news #de #license-mit #region-us 
# snip-igel-100



snip-igel-100
Version 1.0 / 13 April 2023

An adapter for IGEL to generate german news snippets with human written instructions

See snip-igel-500 for the full model description. We repeated fine-tuning with gradually increased amounts of training data, to see the difference.# Environmental Impact

Carbon emissions were estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

Hardware Type: RTX 4090  
Hours used: 21min 57s  
Cloud Provider: URL  
Compute Region: Poland  
Carbon Emitted: ~0.11 kg of CO2e