Text Generation
Transformers
PyTorch
JAX
Safetensors
bloom
text-generation-inference
Inference Endpoints
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  pipeline_tag: text-generation
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  ---
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- # <span style="color:red"><b>WARNING:</b> This is an <b>intermediary checkpoint</b>. It is not fully trained yet. You might want to use [Bloom-1B3](https://huggingface.co/bigscience/bloom-1b3) if you want a model that has completed training.</span>
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  <h1 style='text-align: center '>BLOOM LM</h1>
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  <h2 style='text-align: center '><em>BigScience Large Open-science Open-access Multilingual Language Model</em> </h2>
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  <h3 style='text-align: center '>Model Card</h3>
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  And multiple different metrics for specific tasks. _(More evaluation metrics forthcoming upon completion of evaluation protocol.)_
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  ### Factors
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- *This section lists some different aspects of what BLOOM models. Its focus is on those aspects that are likely to give rise to high variance in model behavior.*
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  - Language, such as English or Yoruba
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  As of 25.May.2022, 15:00 PST:
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- - Training Loss: 2.0
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- - Validation Loss: 2.2
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- - Perplexity: 8.9
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- (More evaluation scores forthcoming at the end of model training.)
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  </details>
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  <p>&nbsp;</p>
 
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  pipeline_tag: text-generation
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  ---
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  <h1 style='text-align: center '>BLOOM LM</h1>
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  <h2 style='text-align: center '><em>BigScience Large Open-science Open-access Multilingual Language Model</em> </h2>
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  <h3 style='text-align: center '>Model Card</h3>
 
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  And multiple different metrics for specific tasks. _(More evaluation metrics forthcoming upon completion of evaluation protocol.)_
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  ### Factors
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+ *This section lists some different aspects of BLOOM models. Its focus is on those aspects that are likely to give rise to high variance in model behavior.*
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  - Language, such as English or Yoruba
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  As of 25.May.2022, 15:00 PST:
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+ - Training Loss: 2.3
 
 
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+ - Validation Loss: 2.9
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+ - Perplexity: 16
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  </details>
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  <p>&nbsp;</p>