gpt2_m_experiment

mllm-dev/gpt2_m_experiment

gpt2_m_experiment 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.

Downloads · 30 days

4% of all-time downloads

All-time downloads

311

Public

Parameters

124M

3.2 GB on disk

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors249 MB · 99%

At a glance

Task: Text Classification
Library: transformers
Model type: gpt2
Access: Public
Created: Mar 10, 2024
Updated: Apr 4, 2024
SHA: 38130083

Try a prompt

Base models

Model card

From the Hugging Face model README

sean_test_merge_out

This is a merge of pre-trained language models created using mergekit.

Merge Details

Merge Method

This model was merged using the DARE TIES merge method using mllm-dev/gpt2_f_experiment_0 as a base.

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:

base_model:
  model:
    path: mllm-dev/gpt2_f_experiment_0
dtype: float16
merge_method: dare_ties
parameters:
  normalize: 1.0
slices:
- sources:
  - layer_range: [0, 12]
    model:
      model:
        path: mllm-dev/gpt2_f_experiment_0
  - layer_range: [0, 12]
    model:
      model:
        path: mllm-dev/gpt2_f_experiment_1
    parameters:
      density: 0.9
      weight: 0.1
  - layer_range: [0, 12]
    model:
      model:
        path: mllm-dev/gpt2_f_experiment_2
    parameters:
      density: 0.9
      weight: 0.1
  - layer_range: [0, 12]
    model:
      model:
        path: mllm-dev/gpt2_f_experiment_3
    parameters:
      density: 0.9
      weight: 0.1
  - layer_range: [0, 12]
    model:
      model:
        path: mllm-dev/gpt2_f_experiment_4
    parameters:
      density: 0.9
      weight: 0.1
  - layer_range: [0, 12]
    model:
      model:
        path: mllm-dev/gpt2_f_experiment_5
    parameters:
      density: 0.9
      weight: 0.1
  - layer_range: [0, 12]
    model:
      model:
        path: mllm-dev/gpt2_f_experiment_6
    parameters:
      density: 0.9
      weight: 0.1
  - layer_range: [0, 12]
    model:
      model:
        path: mllm-dev/gpt2_f_experiment_7
    parameters:
      density: 0.9
      weight: 0.1
  - layer_range: [0, 12]
    model:
      model:
        path: mllm-dev/gpt2_f_experiment_8
    parameters:
      density: 0.9
      weight: 0.1
  - layer_range: [0, 12]
    model:
      model:
        path: mllm-dev/gpt2_f_experiment_9
    parameters:
      density: 0.9
      weight: 0.1

Task: Text Classification
Library: transformers
Type: gpt2
Created: Mar 10, 2024
Updated: Apr 4, 2024