Open-Critic-GPT
Collection
Models fine-tuned on Open-Critic-GPT
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10 items
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Updated
Llama-3.2-1B-Instruct_ocg
This model is a fine-tuned version of meta-llama/Llama-3.2-1B-Instruct 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: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 16
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 200
- num_epochs: 3
Training results
Framework versions
- Transformers 4.50.0
- Pytorch 2.6.0+cu124
- Datasets 3.4.1
- Tokenizers 0.21.0
- Downloads last month
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Model tree for jahyungu/Llama-3.2-1B-Instruct_ocg
Base model
meta-llama/Llama-3.2-1B-Instruct