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gpt_reward_model_1000
Jieming/gpt_reward_model_1000
gpt_reward_model_1000 is a machine learning model from Jieming. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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Public
Updated Mar 15, 2023
Repo size
10.7 GB
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At a glance
- License
- mit
- Access
- Public
- Created
- Mar 15, 2023
- Updated
- Mar 15, 2023
- SHA
- fd8e6c18
Model card
From the Hugging Face model README
<!-- 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. -->
rm_checkpoint
This model is a fine-tuned version of EleutherAI/gpt-neo-2.7B on an unknown dataset.
dataset size = 1000, test accuracy = 0.4998
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: 1e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 5
Framework versions
- Transformers 4.27.0
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2
- License
- mit
- Created
- Mar 15, 2023
- Updated
- Mar 15, 2023