Text Generation
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bloom
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text-generation-inference
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  1. README.md +8 -2
README.md CHANGED
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  pipeline_tag: text-generation
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- # <span style="color:red"><b>WARNING:</b> Intermediary checkpoint at global step 91100. This checkpoint is not a fully trained model. Evaluations of intermediary checkpoints and the final model will be added when conducted (see below).</span>
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  # <p>BLOOM LM<br/> _BigScience Large Open-science Open-access Multilingual Language Model_ <br/>Model Card</p>
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  <img src="https://assets.website-files.com/6139f3cdcbbff3a68486761d/613cd8997b270da063e230c5_Tekengebied%201-p-500.png" alt="BigScience Logo" width="200"/>
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- Version 1.3 / 3.July.2022 - Checkpoint: **Global step 91100**
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  # Table of Contents
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  1. [Model Details](#model-details)
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  * Sequence length of 2048 tokens used (see [BLOOM tokenizer](https://huggingface.co/bigscience/tokenizer), [tokenizer description](#tokenization))
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  **Objective Function:** Cross Entropy with mean reduction (see [API documentation](https://pytorch.org/docs/stable/generated/torch.nn.CrossEntropyLoss.html#torch.nn.CrossEntropyLoss)).
 
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  ### Compute infrastructure
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  Jean Zay Public Supercomputer, provided by the French government (see [announcement](https://www.enseignementsup-recherche.gouv.fr/fr/signature-du-marche-d-acquisition-de-l-un-des-supercalculateurs-les-plus-puissants-d-europe-46733)).
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  - Generating content without attribution to the model, as specified in the [RAIL License, Use Restrictions](https://huggingface.co/spaces/bigscience/license)
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  ## Intended Users
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  ### Direct Users
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  ---
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  # Risks and Limitations
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  *This section identifies foreseeable harms and misunderstandings.*
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  pipeline_tag: text-generation
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  ---
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  # <p>BLOOM LM<br/> _BigScience Large Open-science Open-access Multilingual Language Model_ <br/>Model Card</p>
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  <img src="https://assets.website-files.com/6139f3cdcbbff3a68486761d/613cd8997b270da063e230c5_Tekengebied%201-p-500.png" alt="BigScience Logo" width="200"/>
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+ Version 1.3 / 3.July.2022 - Checkpoint: **Global step 95000** - Number of seen tokens: **398B seen tokens**
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  # Table of Contents
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  1. [Model Details](#model-details)
 
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  * Sequence length of 2048 tokens used (see [BLOOM tokenizer](https://huggingface.co/bigscience/tokenizer), [tokenizer description](#tokenization))
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  **Objective Function:** Cross Entropy with mean reduction (see [API documentation](https://pytorch.org/docs/stable/generated/torch.nn.CrossEntropyLoss.html#torch.nn.CrossEntropyLoss)).
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  ### Compute infrastructure
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  Jean Zay Public Supercomputer, provided by the French government (see [announcement](https://www.enseignementsup-recherche.gouv.fr/fr/signature-du-marche-d-acquisition-de-l-un-des-supercalculateurs-les-plus-puissants-d-europe-46733)).
 
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  - Generating content without attribution to the model, as specified in the [RAIL License, Use Restrictions](https://huggingface.co/spaces/bigscience/license)
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+ ## Intermediate checkpoints
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+ For academic (or any) usage, we published the intermediate checkpoints, corresponding to the model state at each 5000 steps. Please follow [this link](https://huggingface.co/bigscience/bloom-176-intermediate) to get these checkpoints.
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  ## Intended Users
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  ### Direct Users
 
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  ---
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  # Risks and Limitations
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  *This section identifies foreseeable harms and misunderstandings.*
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