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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
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
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