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Create README.md
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Create README.md
**Model:**
This is a LLM trained on a dataset of DIBT_10k_prompts.
**Evaluation:**
| Tasks |Version|Filter|n-shot| Metric | |Value | |Stderr|
|---------|------:|------|-----:|--------|---|-----:|---|-----:|
|hellaswag| 1|none | 0|acc |↑ |0.2872|± |0.0045|
| | |none | 0|acc_norm|↑ |0.3082|± |0.0046|
Passed argument batch_size = auto:4.0. Detecting largest batch size
Determined largest batch size: 64
Passed argument batch_size = auto:4.0. Detecting largest batch size
Determined largest batch size: 64
hf (pretrained=EleutherAI/pythia-160m,revision=step100000,dtype=float), gen_kwargs: (None), limit: None, num_fewshot: None, batch_size: auto:4 (64,64,64,64,64) -
Create README.md
**Evaluation Results:**
| Tasks |Version|Filter|n-shot| Metric | |Value | |Stderr|
|---------|------:|------|-----:|--------|---|-----:|---|-----:|
|hellaswag| 1|none | 0|acc |↑ |0.2872|± |0.0045|
| | |none | 0|acc_norm|↑ |0.3082|± |0.0046|
**Model:**
This is a LLM trained on a dataset of DIBT_10k_prompts.
Determined largest batch size: 64
Passed argument batch_size = auto:4.0. Detecting largest batch size
Determined largest batch size: 64
hf (pretrained=EleutherAI/pythia-160m,revision=step100000,dtype=float), gen_kwargs: (None), limit: None, num_fewshot: None, batch_size: auto:4 (64,64,64,64,64) -
initial commit
