Na0s
/

Llama-3.1-8B-Pruned-4-Layers_LoRA-PEFT

@@ -1,98 +1,45 @@
 ---
 library_name: transformers
-tags: []
 ---
 # Model Card for Model ID
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 ## Model Details
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-This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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@@ -102,98 +49,23 @@ Use the code below to get started with the model.
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-Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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 ---
 library_name: transformers
+license: apache-2.0
+datasets:
+- Open-Orca/SlimOrca
+pipeline_tag: text-generation
 ---
 # Model Card for Model ID
 ## Model Details
 ### Model Description
 - **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [Na0s/Llama-3.1-8B-Pruned-4-Layers_LoRA-PEFT]
 ## Training Details
+        LoRA BF16,
+        batch_size=2,
+        steps=10000, gradient_accumulation_steps = 4,
+        warmup_steps = 5,
+        learning_rate = 2e-4,
+        fp16 = not is_bfloat16_supported(),
+        bf16 = is_bfloat16_supported(),
+        logging_steps = 1,
+        optim = "adamw_8bit",
+        weight_decay = 0.01,
+        lr_scheduler_type = "linear",
+        seed = 3407,
 ### Training Data
 <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+[Open-Orca/SlimOrca]
 ### Training Procedure
 <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
 #### Speeds, Sizes, Times [optional]
 ## Evaluation
+MMLU Pro 0-shot: 0.2937
 #### Testing Data
 <!-- This should link to a Dataset Card if possible. -->
+[TIGER-AI-Lab/MMLU-Pro]
 ### Results
 [More Information Needed]
 ## Environmental Impact
 <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).