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gpt2_m_experiment_drug_data_linear
mllm-dev/gpt2_m_experiment_drug_data_linear
gpt2_m_experiment_drug_data_linear 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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249 MB on disk
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Repo makeup
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.safetensors249 MB · 99%
At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- gpt2
- Access
- Public
- Created
- Apr 5, 2024
- Updated
- Apr 5, 2024
- SHA
- dad32a4c
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Base models
Model card
From the Hugging Face model README
tam_test_merge_out_drug_data_linear
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the linear merge method.
Models Merged
The following models were included in the merge:
- mllm-dev/gpt2_f_experiment_2_drug_data
- mllm-dev/gpt2_f_experiment_4_drug_data
- mllm-dev/gpt2_f_experiment_0_drug_data
- mllm-dev/gpt2_f_experiment_1_drug_data
- mllm-dev/gpt2_f_experiment_3_drug_data
Configuration
The following YAML configuration was used to produce this model:
dtype: float16
merge_method: linear
slices:
- sources:
- layer_range: [0, 12]
model:
model:
path: mllm-dev/gpt2_f_experiment_0_drug_data
parameters:
weight: 1.0
- layer_range: [0, 12]
model:
model:
path: mllm-dev/gpt2_f_experiment_1_drug_data
parameters:
weight: 1.0
- layer_range: [0, 12]
model:
model:
path: mllm-dev/gpt2_f_experiment_2_drug_data
parameters:
weight: 1.0
- layer_range: [0, 12]
model:
model:
path: mllm-dev/gpt2_f_experiment_3_drug_data
parameters:
weight: 1.0
- layer_range: [0, 12]
model:
model:
path: mllm-dev/gpt2_f_experiment_4_drug_data
parameters:
weight: 1.0
- Task
- Text Classification
- Library
- transformers
- Type
- gpt2
- Created
- Apr 5, 2024
- Updated
- Apr 5, 2024