Downloads · 30 days
4
25% of all-time downloads
Winmodel_-_tmp_trainer-awq
RichardErkhov/Winmodel_-_tmp_trainer-awq
Winmodel_-_tmp_trainer-awq 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.
All-time downloads
16
Public
Parameters
331M
215 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors215 MB · 98%
Parameter types
How the weights are stored.
I32302M · 91%
Model card
From the Hugging Face model README
Quantization made by Richard Erkhov.
tmp_trainer - AWQ
- Model creator: https://huggingface.co/Winmodel/
- Original model: https://huggingface.co/Winmodel/tmp_trainer/
Original model description:
license: other base_model: facebook/opt-350m tags:
- generated_from_trainer datasets:
- imdb model-index:
- name: tmp_trainer 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. -->
tmp_trainer
This model is a fine-tuned version of facebook/opt-350m on the imdb dataset.
Model description
More information needed
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
- Type
- opt
- Created
- Dec 7, 2024
- Updated
- Dec 7, 2024