lilloukas Ariel Lee commited on
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Update README.md (#2)

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- Update README.md (655c2c526292f6ff36e006fdaed5cc5df4a30567)


Co-authored-by: Ariel Lee <[email protected]>

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  1. README.md +13 -23
README.md CHANGED
@@ -3,34 +3,26 @@ language:
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  - en
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  tags:
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  - llama
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- license: apache-2.0
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  metrics:
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  - MMLU
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  - ARC
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  - HellaSwag
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  - TruthfulQA
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- - ReClor
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  ---
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- # 🥳 Platypus30B has arrived!
 
 
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  | Metric | Value |
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  |-----------------------|-------|
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- | MMLU (5-shot) | 64.2 |
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- | ARC (25-shot) | 76.7 |
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  | HellaSwag (10-shot) | 84.3 |
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- | TruthfulQA (0-shot) | 37.4 |
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- | ReClor (0-shot) | 70 |
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-
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- ## Model Description
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-
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- Platypus30B is an instruction fine-tuned LlaMa model.
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-
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- ## Apply Delta Weights
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-
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- ```sh
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- ADD
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- ```
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  ## Usage
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@@ -41,7 +33,7 @@ ADD
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  ## Model Details
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  * **Trained by**: [Ariel Lee & Cole Hunter, LINK TO WEBSITES]
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- * **Model type:** **Platypus30B** is an auto-regressive language model based on the LLaMA transformer architecture.
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  * **Language(s)**: English
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  * **License for base weights**: License for the base LLaMA model's weights is Meta's [non-commercial bespoke license](https://github.com/facebookresearch/llama/blob/main/MODEL_CARD.md).
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@@ -52,15 +44,13 @@ ADD
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  | \\(n_\text{layers}\\) | 60 |
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  | \\(n_\text{heads}\\) | 52 |
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- ## Training
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-
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- ### Training Dataset
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  Dataset of highly filtered and curated question and answer pairs. Release TBD.
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- ### Training Procedure
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- `lilloukas/Platypus30b` was instruction fine-tuned using lora [CITE REPO] on 2 A100 80GB with the following configuration:
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  | Hyperparameter | Value |
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  |---------------------|-------|
 
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  - en
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  tags:
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  - llama
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+ license: other
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  metrics:
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  - MMLU
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  - ARC
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  - HellaSwag
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  - TruthfulQA
 
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  ---
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+ # 🥳 Platypus-30B has arrived!
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+
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+ Platypus-30B is an instruction fine-tuned model based on the LLaMA-30b transformer architecture.
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  | Metric | Value |
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  |-----------------------|-------|
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+ | MMLU (5-shot) | 65.4 |
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+ | ARC (25-shot) | 64.6 |
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  | HellaSwag (10-shot) | 84.3 |
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+ | TruthfulQA (0-shot) | 45.8 |
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+ |-----------------------|-------|
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+ | Avg. | 65 | 💥
 
 
 
 
 
 
 
 
 
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  ## Usage
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  ## Model Details
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  * **Trained by**: [Ariel Lee & Cole Hunter, LINK TO WEBSITES]
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+ * **Model type:** **Platypus-30B** is an auto-regressive language model based on the LLaMA transformer architecture.
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  * **Language(s)**: English
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  * **License for base weights**: License for the base LLaMA model's weights is Meta's [non-commercial bespoke license](https://github.com/facebookresearch/llama/blob/main/MODEL_CARD.md).
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  | \\(n_\text{layers}\\) | 60 |
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  | \\(n_\text{heads}\\) | 52 |
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+ ## Training Dataset
 
 
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  Dataset of highly filtered and curated question and answer pairs. Release TBD.
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+ ## Training Procedure
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+ `lilloukas/Platypus-30b` was instruction fine-tuned using lora [CITE REPO] on 4 A100 80GB with the following configuration:
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  | Hyperparameter | Value |
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  |---------------------|-------|