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manupande21_-_GPT2_PMC-8bits
RichardErkhov/manupande21_-_GPT2_PMC-8bits
manupande21_-_GPT2_PMC-8bits is a machine learning model from RichardErkhov. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
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.safetensors164 MB · 98%
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Model card
From the Hugging Face model README
Quantization made by Richard Erkhov.
GPT2_PMC - bnb 8bits
- Model creator: https://huggingface.co/manupande21/
- Original model: https://huggingface.co/manupande21/GPT2_PMC/
Original model description:
license: mit base_model: gpt2 tags:
- generated_from_trainer model-index:
- name: answer_logs results: []
<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
answer_logs
This model is a fine-tuned version of gpt2 on a set of around 8000 .questions and answers generated from pubmed central open access research papers
Model description
Finetuned gpt2
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 13.0
Training results
Framework versions
- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
- Type
- gpt2
- Created
- Oct 6, 2024
- Updated
- Oct 6, 2024