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@@ -37,83 +37,19 @@ This is the model card of a 🤗 transformers model that has been pushed on the
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  <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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- ### Direct Use
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- <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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- [More Information Needed]
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- ### Downstream Use [optional]
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- <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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- [More Information Needed]
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- ### Out-of-Scope Use
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- <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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- [More Information Needed]
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- ## Bias, Risks, and Limitations
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- <!-- This section is meant to convey both technical and sociotechnical limitations. -->
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- [More Information Needed]
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- ### Recommendations
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- <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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- Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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- ## How to Get Started with the Model
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- Use the code below to get started with the model.
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- [More Information Needed]
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- ## Training Details
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- ### Training Data
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- <!-- 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. -->
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- [More Information Needed]
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- ### Training Procedure
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- <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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- #### Preprocessing [optional]
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- [More Information Needed]
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- #### Training Hyperparameters
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- - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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- #### Speeds, Sizes, Times [optional]
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- <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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- [More Information Needed]
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  ## Evaluation
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  <!-- This section describes the evaluation protocols and provides the results. -->
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- hf-causal-experimental (pretrained=T3Q-LLM/T3Q-LLM2-FP-v1.0,use_accelerate=true,trust_remote_code=true), limit: None, provide_description: False, num_fewshot: 50, batch_size: 1
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  | Task |Version| Metric |Value | |Stderr|
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  |----------------|------:|--------|-----:|---|-----:|
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- |kobest_boolq | 0|acc |0.9466|± |0.0060|
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- | | |macro_f1|0.9466|± |0.0060|
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- |kobest_copa | 0|acc |0.8680|± |0.0107|
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- | | |macro_f1|0.8678|± |0.0107|
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- |kobest_hellaswag| 0|acc |0.5020|± |0.0224|
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- | | |acc_norm|0.5540|± |0.0223|
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- | | |macro_f1|0.5007|± |0.0223|
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- |kobest_sentineg | 0|acc |0.9521|± |0.0107|
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- | | |macro_f1|0.9521|± |0.0108|
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  <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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  ## Evaluation
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  <!-- This section describes the evaluation protocols and provides the results. -->
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+ hf-causal-experimental (pretrained=T3Q-LLM/T3Q-LLM2-FP-v1.0,use_accelerate=true,trust_remote_code=true), limit: None, provide_description: False, num_fewshot: 0, batch_size: 8
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  | Task |Version| Metric |Value | |Stderr|
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  |----------------|------:|--------|-----:|---|-----:|
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+ |kobest_boolq | 0|acc |0.5976|± |0.0131|
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+ | | |macro_f1|0.5224|± |0.0136|
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+ |kobest_copa | 0|acc |0.8190|± |0.0122|
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+ | | |macro_f1|0.8189|± |0.0122|
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+ |kobest_hellaswag| 0|acc |0.5240|± |0.0224|
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+ | | |acc_norm|0.5740|± |0.0221|
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+ | | |macro_f1|0.5214|± |0.0224|
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+ |kobest_sentineg | 0|acc |0.7809|± |0.0208|
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+ | | |macro_f1|0.7786|± |0.0211|