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AI-MO/NuminaMath-7B-TIR
deepseek-ai/DeepSeek-Prover-V1.5-RL
Eval Results
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Add `Evaluation Results` Table

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Added it from my Gist - https://gist.github.com/Haleshot/57635a02b68836ec2305c49e8f6c1dd1

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  1. README.md +125 -1
README.md CHANGED
@@ -9,6 +9,45 @@ tags:
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  - AI-MO/NuminaMath-7B-TIR
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  - deepseek-ai/DeepSeek-Prover-V1.5-RL
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  license: apache-2.0
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # Mathmate-7B-DELLA
@@ -59,4 +98,89 @@ pipeline = transformers.pipeline(
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  outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
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  print(outputs[0]["generated_text"])
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- ```
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  - AI-MO/NuminaMath-7B-TIR
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  - deepseek-ai/DeepSeek-Prover-V1.5-RL
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  license: apache-2.0
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+ model-index:
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+ - name: Mathmate-7B-DELLA
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+ results:
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+ - task:
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+ type: text-generation
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+ dataset:
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+ name: AGIEval
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+ type: AGIEval
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+ metrics:
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+ - name: AGIEval
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+ type: AGIEval
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+ value: 21.95
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+ - task:
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+ type: text-generation
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+ dataset:
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+ name: GPT4All
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+ type: GPT4All
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+ metrics:
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+ - name: GPT4All
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+ type: GPT4All
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+ value: 36.5
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+ - task:
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+ type: text-generation
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+ dataset:
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+ name: TruthfulQA
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+ type: TruthfulQA
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+ metrics:
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+ - name: TruthfulQA
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+ type: TruthfulQA
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+ value: 48.08
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+ - task:
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+ type: text-generation
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+ dataset:
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+ name: Bigbench
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+ type: Bigbench
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+ metrics:
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+ - name: Bigbench
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+ type: Bigbench
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+ value: 28.89
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  ---
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  # Mathmate-7B-DELLA
 
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  outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
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  print(outputs[0]["generated_text"])
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+ ```
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+
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+ ## 📊 Evaluation Results
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+
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+ Evaluation results using LLMAutoeval:
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+
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+ | Model | AGIEval | GPT4All | TruthfulQA | Bigbench | Average |
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+ |-------|---------|---------|------------|----------|---------|
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+ | [Mathmate-7B-DELLA](https://huggingface.co/Haleshot/Mathmate-7B-DELLA) | 21.95 | 36.5 | 48.08 | 28.89 | 33.86 |
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+
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+ ### AGIEval
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+ | Task | Version | Metric | Value | Stderr |
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+ |------|---------|--------|-------|--------|
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+ | agieval_aqua_rat | 0 | acc | 21.26 | 2.57 |
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+ | | | acc_norm | 22.05 | 2.61 |
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+ | agieval_logiqa_en | 0 | acc | 20.89 | 1.59 |
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+ | | | acc_norm | 25.65 | 1.71 |
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+ | agieval_lsat_ar | 0 | acc | 21.74 | 2.73 |
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+ | | | acc_norm | 19.57 | 2.62 |
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+ | agieval_lsat_lr | 0 | acc | 13.92 | 1.53 |
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+ | | | acc_norm | 18.82 | 1.73 |
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+ | agieval_lsat_rc | 0 | acc | 21.19 | 2.50 |
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+ | | | acc_norm | 18.96 | 2.39 |
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+ | agieval_sat_en | 0 | acc | 24.76 | 3.01 |
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+ | | | acc_norm | 21.36 | 2.86 |
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+ | agieval_sat_en_without_passage | 0 | acc | 27.18 | 3.11 |
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+ | | | acc_norm | 23.30 | 2.95 |
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+ | agieval_sat_math | 0 | acc | 25.45 | 2.94 |
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+ | | | acc_norm | 25.91 | 2.96 |
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+
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+ Average: 21.95%
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+
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+ ### GPT4All
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+ | Task | Version | Metric | Value | Stderr |
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+ |------|---------|--------|-------|--------|
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+ | arc_challenge | 0 | acc | 22.61 | 1.22 |
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+ | | | acc_norm | 25.68 | 1.28 |
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+ | arc_easy | 0 | acc | 25.25 | 0.89 |
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+ | | | acc_norm | 25.08 | 0.89 |
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+ | boolq | 1 | acc | 52.02 | 0.87 |
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+ | hellaswag | 0 | acc | 25.77 | 0.44 |
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+ | | | acc_norm | 26.09 | 0.44 |
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+ | openbookqa | 0 | acc | 18.40 | 1.73 |
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+ | | | acc_norm | 28.80 | 2.03 |
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+ | piqa | 0 | acc | 51.31 | 1.17 |
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+ | | | acc_norm | 50.11 | 1.17 |
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+ | winogrande | 0 | acc | 47.75 | 1.40 |
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+
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+ Average: 36.5%
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+
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+ ### TruthfulQA
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+ | Task | Version | Metric | Value | Stderr |
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+ |------|---------|--------|-------|--------|
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+ | truthfulqa_mc | 1 | mc1 | 22.77 | 1.47 |
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+ | | | mc2 | 48.08 | 1.70 |
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+
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+ Average: 48.08%
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+
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+ ### Bigbench
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+ | Task | Version | Metric | Value | Stderr |
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+ |------|---------|--------|-------|--------|
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+ | bigbench_causal_judgement | 0 | multiple_choice_grade | 49.47 | 3.64 |
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+ | bigbench_date_understanding | 0 | multiple_choice_grade | 13.55 | 1.78 |
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+ | bigbench_disambiguation_qa | 0 | multiple_choice_grade | 30.23 | 2.86 |
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+ | bigbench_geometric_shapes | 0 | multiple_choice_grade | 10.03 | 1.59 |
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+ | | | exact_str_match | 0.00 | 0.00 |
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+ | bigbench_logical_deduction_five_objects | 0 | multiple_choice_grade | 19.40 | 1.77 |
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+ | bigbench_logical_deduction_seven_objects | 0 | multiple_choice_grade | 14.00 | 1.31 |
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+ | bigbench_logical_deduction_three_objects | 0 | multiple_choice_grade | 36.67 | 2.79 |
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+ | bigbench_movie_recommendation | 0 | multiple_choice_grade | 23.60 | 1.90 |
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+ | bigbench_navigate | 0 | multiple_choice_grade | 47.10 | 1.58 |
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+ | bigbench_reasoning_about_colored_objects | 0 | multiple_choice_grade | 13.05 | 0.75 |
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+ | bigbench_ruin_names | 0 | multiple_choice_grade | 53.79 | 2.36 |
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+ | bigbench_salient_translation_error_detection | 0 | multiple_choice_grade | 15.63 | 1.15 |
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+ | bigbench_snarks | 0 | multiple_choice_grade | 46.96 | 3.72 |
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+ | bigbench_sports_understanding | 0 | multiple_choice_grade | 49.70 | 1.59 |
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+ | bigbench_temporal_sequences | 0 | multiple_choice_grade | 25.80 | 1.38 |
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+ | bigbench_tracking_shuffled_objects_five_objects | 0 | multiple_choice_grade | 19.76 | 1.13 |
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+ | bigbench_tracking_shuffled_objects_seven_objects | 0 | multiple_choice_grade | 14.69 | 0.85 |
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+ | bigbench_tracking_shuffled_objects_three_objects | 0 | multiple_choice_grade | 36.67 | 2.79 |
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+
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+ Average: 28.89%
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+
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+ Average score: 33.86%
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+
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+ Elapsed time: 03:52:09