metadata
language:
- en
license: mit
library_name: adapter-transformers
datasets:
- argilla/distilabel-intel-orca-dpo-pairs
- jondurbin/truthy-dpo-v0.1
- argilla/distilabel-math-preference-dpo
- argilla/distilabel-capybara-dpo-7k-binarized
base_model: Technoculture/MT7Bi-sft
model-index:
- name: MT7Bi-alpha-dpo-v0.2
results:
- task:
type: text-generation
name: Text Generation
dataset:
name: AI2 Reasoning Challenge (25-Shot)
type: ai2_arc
config: ARC-Challenge
split: test
args:
num_few_shot: 25
metrics:
- type: acc_norm
value: 54.69
name: normalized accuracy
source:
url: >-
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Technoculture/MT7Bi-alpha-dpo-v0.2
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: HellaSwag (10-Shot)
type: hellaswag
split: validation
args:
num_few_shot: 10
metrics:
- type: acc_norm
value: 75.89
name: normalized accuracy
source:
url: >-
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Technoculture/MT7Bi-alpha-dpo-v0.2
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: MMLU (5-Shot)
type: cais/mmlu
config: all
split: test
args:
num_few_shot: 5
metrics:
- type: acc
value: 52.82
name: accuracy
source:
url: >-
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Technoculture/MT7Bi-alpha-dpo-v0.2
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: TruthfulQA (0-shot)
type: truthful_qa
config: multiple_choice
split: validation
args:
num_few_shot: 0
metrics:
- type: mc2
value: 45.48
source:
url: >-
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Technoculture/MT7Bi-alpha-dpo-v0.2
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: Winogrande (5-shot)
type: winogrande
config: winogrande_xl
split: validation
args:
num_few_shot: 5
metrics:
- type: acc
value: 71.59
name: accuracy
source:
url: >-
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Technoculture/MT7Bi-alpha-dpo-v0.2
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: GSM8k (5-shot)
type: gsm8k
config: main
split: test
args:
num_few_shot: 5
metrics:
- type: acc
value: 25.93
name: accuracy
source:
url: >-
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Technoculture/MT7Bi-alpha-dpo-v0.2
name: Open LLM Leaderboard
Technoculture/MT7Bi-alpha-dpo-v-0.2
Open LLM Leaderboard
| Model Name | ARC | HellaSwag | MMLU | TruthfulQA | Winogrande | GSM8K |
|---|---|---|---|---|---|---|
| Orca-2-7b | 78.4 | 76.1 | 53.7 | 52.4 | 74.2 | 47.2 |
| LLAMA-2-7b | 43.2 | 77.1 | 44.4 | 38.7 | 69.5 | 16 |
| MT7Bi-sft | 54.1 | 75.11 | - | 43.08 | 72.14 | 15.54 |
| MT7Bi-alpha-dpo-v0.2 | 54.69 | 75.89 | 52.82 | 45.48 | 71.58 | 25.93 |
Training Details
- GPU: Nvidia A100 Tensor Core GPU
- Total Batches: 4266
- Epochs: 3
- Duration: 3 hours, 59 minutes, and 55 seconds
DPO Training Dataset Mixture
| Dataset Name | Original Size(Rows) | Ratio | Size After Ratio(Rows) |
|---|---|---|---|
| argilla/distilabel-math-preference-dpo | 2.4k | 1.0 | 2.4k |
| argilla/distilabel-intel-orca-dpo-pairs | 12.9k | 0.5 | 6.45k |
| jondurbin/truthy-dpo-v0.1 | 1.04k | 1.0 | 1.04k |
| argilla/distilabel-capybara-dpo-7k-binarized | 7.5k | 0.2 | 1.5k |
| Total Size: 11.38k |
Training Loss Plot
Training Loss Smoothed Plot
For full details of this dpo-training please go through our notebook.
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 54.40 |
| AI2 Reasoning Challenge (25-Shot) | 54.69 |
| HellaSwag (10-Shot) | 75.89 |
| MMLU (5-Shot) | 52.82 |
| TruthfulQA (0-shot) | 45.48 |
| Winogrande (5-shot) | 71.59 |
| GSM8k (5-shot) | 25.93 |