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mllm-dev/gpt2_m_experiment_drug_data_ties_test
gpt2_m_experiment_drug_data_ties_test is a text classification model from mllm-dev. Use it when you need a label for a piece of text. It is set up for transformers.
This is a merge of pre-trained language models created using mergekit.
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.safetensors249 MB · 99%
From the Hugging Face model README
This is a merge of pre-trained language models created using mergekit.
This model was merged using the TIES merge method using mllm-dev/gpt2_f_experiment_0_drug_data as a base.
The following models were included in the merge:
The following YAML configuration was used to produce this model:
base_model:
model:
path: mllm-dev/gpt2_f_experiment_0_drug_data
dtype: float16
merge_method: ties
parameters:
normalize: 1.0
slices:
- sources:
- layer_range: [0, 12]
model:
model:
path: mllm-dev/gpt2_f_experiment_0_drug_data
- layer_range: [0, 12]
model:
model:
path: mllm-dev/gpt2_f_experiment_1_drug_data
parameters:
density: 0.9
weight: 0.2
- layer_range: [0, 12]
model:
model:
path: mllm-dev/gpt2_f_experiment_2_drug_data
parameters:
density: 0.9
weight: 0.2
- layer_range: [0, 12]
model:
model:
path: mllm-dev/gpt2_f_experiment_3_drug_data
parameters:
density: 0.9
weight: 0.2
- layer_range: [0, 12]
model:
model:
path: mllm-dev/gpt2_f_experiment_4_drug_data
parameters:
density: 0.9
weight: 0.2