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eval_config.json
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79 lines (79 loc) · 1.92 KB
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{
"dataset": {
"name": "baartmar/nsm_dataset",
"split": "test"
},
"output_path": "results",
"models": [
{
"model": "baartmar/DeepNSM-8B",
"use_system_prompt": true,
"num_examples": 3,
"max_batch_size": 8,
"orig": "meta-llama/Llama-3.1-8B"
},
{
"model": "baartmar/DeepNSM-1B",
"use_system_prompt": true,
"num_examples": 3,
"max_batch_size": 8,
"orig": "meta-llama/Llama-3.2-1B"
},
{
"model": "meta-llama/Llama-3.1-8B-Instruct",
"use_system_prompt": true,
"num_examples": 3,
"max_batch_size": 8,
"orig": ""
},
{
"model": "meta-llama/Llama-3.2-1B-Instruct",
"use_system_prompt": true,
"num_examples": 3,
"max_batch_size": 8,
"orig": ""
},
{
"model": "gpt-4o",
"use_system_prompt": true,
"num_examples": 3,
"max_batch_size": 1,
"orig": ""
},
{
"model": "gpt-4o",
"use_system_prompt": true,
"num_examples": 3,
"max_batch_size": 1,
"orig": ""
},
{
"model": "gemini-2.0-flash",
"use_system_prompt": true,
"num_examples": 3,
"max_batch_size": 1,
"orig": ""
}
],
"grader_models": [
{
"model": "meta-llama/Llama-3.1-8B-Instruct",
"max_batch_size": 8
},
{
"model": "google/gemma-3-12b-it",
"max_batch_size": 8
},
{
"model": "mistralai/Mistral-7B-Instruct-v0.3",
"max_batch_size": 8
}
],
"languages": [
"alz",
"rw",
"dn",
"din",
"ab"
]
}