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fix batch size and add paper

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  1. README.md +8 -5
README.md CHANGED
@@ -7,11 +7,12 @@ tags:
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  - pythia
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  license: apache-2.0
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  datasets:
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- - the_pile
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  ---
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  The *Pythia Scaling Suite* is a collection of models developed to facilitate
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- interpretability research. It contains two sets of eight models of sizes
 
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  70M, 160M, 410M, 1B, 1.4B, 2.8B, 6.9B, and 12B. For each size, there are two
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  models: one trained on the Pile, and one trained on the Pile after the dataset
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  has been globally deduplicated. All 8 model sizes are trained on the exact
@@ -53,6 +54,8 @@ with exact parameter counts.
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  - Language: English
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  - Learn more: [Pythia's GitHub repository](https://github.com/EleutherAI/pythia)
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  for training procedure, config files, and details on how to use.
 
 
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  - Library: [GPT-NeoX](https://github.com/EleutherAI/gpt-neox)
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  - License: Apache 2.0
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  - Contact: to ask questions about this model, join the [EleutherAI
@@ -66,10 +69,10 @@ Discord](https://discord.gg/zBGx3azzUn), and post them in `#release-discussion`.
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  | Pythia model | Non-Embedding Params | Layers | Model Dim | Heads | Batch Size | Learning Rate | Equivalent Models |
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  | -----------: | -------------------: | :----: | :-------: | :---: | :--------: | :-------------------: | :--------------------: |
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  | 70M | 18,915,328 | 6 | 512 | 8 | 2M | 1.0 x 10<sup>-3</sup> | β€” |
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- | 160M | 85,056,000 | 12 | 768 | 12 | 4M | 6.0 x 10<sup>-4</sup> | GPT-Neo 125M, OPT-125M |
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- | 410M | 302,311,424 | 24 | 1024 | 16 | 4M | 3.0 x 10<sup>-4</sup> | OPT-350M |
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  | 1.0B | 805,736,448 | 16 | 2048 | 8 | 2M | 3.0 x 10<sup>-4</sup> | β€” |
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- | 1.4B | 1,208,602,624 | 24 | 2048 | 16 | 4M | 2.0 x 10<sup>-4</sup> | GPT-Neo 1.3B, OPT-1.3B |
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  | 2.8B | 2,517,652,480 | 32 | 2560 | 32 | 2M | 1.6 x 10<sup>-4</sup> | GPT-Neo 2.7B, OPT-2.7B |
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  | 6.9B | 6,444,163,072 | 32 | 4096 | 32 | 2M | 1.2 x 10<sup>-4</sup> | OPT-6.7B |
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  | 12B | 11,327,027,200 | 36 | 5120 | 40 | 2M | 1.2 x 10<sup>-4</sup> | β€” |
 
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  - pythia
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  license: apache-2.0
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  datasets:
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+ - EleutherAI/pile
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  ---
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  The *Pythia Scaling Suite* is a collection of models developed to facilitate
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+ interpretability research [(see paper)](https://arxiv.org/pdf/2304.01373.pdf).
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+ It contains two sets of eight models of sizes
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  70M, 160M, 410M, 1B, 1.4B, 2.8B, 6.9B, and 12B. For each size, there are two
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  models: one trained on the Pile, and one trained on the Pile after the dataset
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  has been globally deduplicated. All 8 model sizes are trained on the exact
 
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  - Language: English
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  - Learn more: [Pythia's GitHub repository](https://github.com/EleutherAI/pythia)
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  for training procedure, config files, and details on how to use.
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+ [See paper](https://arxiv.org/pdf/2304.01373.pdf) for more evals and implementation
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+ details.
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  - Library: [GPT-NeoX](https://github.com/EleutherAI/gpt-neox)
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  - License: Apache 2.0
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  - Contact: to ask questions about this model, join the [EleutherAI
 
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  | Pythia model | Non-Embedding Params | Layers | Model Dim | Heads | Batch Size | Learning Rate | Equivalent Models |
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  | -----------: | -------------------: | :----: | :-------: | :---: | :--------: | :-------------------: | :--------------------: |
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  | 70M | 18,915,328 | 6 | 512 | 8 | 2M | 1.0 x 10<sup>-3</sup> | β€” |
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+ | 160M | 85,056,000 | 12 | 768 | 12 | 2M | 6.0 x 10<sup>-4</sup> | GPT-Neo 125M, OPT-125M |
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+ | 410M | 302,311,424 | 24 | 1024 | 16 | 2M | 3.0 x 10<sup>-4</sup> | OPT-350M |
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  | 1.0B | 805,736,448 | 16 | 2048 | 8 | 2M | 3.0 x 10<sup>-4</sup> | β€” |
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+ | 1.4B | 1,208,602,624 | 24 | 2048 | 16 | 2M | 2.0 x 10<sup>-4</sup> | GPT-Neo 1.3B, OPT-1.3B |
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  | 2.8B | 2,517,652,480 | 32 | 2560 | 32 | 2M | 1.6 x 10<sup>-4</sup> | GPT-Neo 2.7B, OPT-2.7B |
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  | 6.9B | 6,444,163,072 | 32 | 4096 | 32 | 2M | 1.2 x 10<sup>-4</sup> | OPT-6.7B |
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  | 12B | 11,327,027,200 | 36 | 5120 | 40 | 2M | 1.2 x 10<sup>-4</sup> | β€” |