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pitangent-ds_-_opt-350M-tutor-awq
RichardErkhov/pitangent-ds_-_opt-350M-tutor-awq
pitangent-ds_-_opt-350M-tutor-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.
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Model card
From the Hugging Face model README
Quantization made by Richard Erkhov.
opt-350M-tutor - AWQ
- Model creator: https://huggingface.co/pitangent-ds/
- Original model: https://huggingface.co/pitangent-ds/opt-350M-tutor/
Original model description:
license: mit base_model: facebook/opt-350m tags:
- OPTForCausalLM
- trl
- sft
- generated_from_trainer
- pytorch model-index:
- name: opt-350M-tutor results: [] datasets:
- Rohan1998/Tutor language:
- en library_name: transformers pipeline_tag: text-generation
<!-- 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. -->
opt-350M-tutor
This model is a fine-tuned version of facebook/opt-350m on an unknown 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: 2e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 1337
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.02
- training_steps: 250
Training results
Framework versions
- Transformers 4.42.3
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Type
- opt
- Created
- Dec 8, 2024
- Updated
- Dec 8, 2024