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llama_3.2_1b_megamath_ablation_full_2025_05_06
deqing/llama_3.2_1b_megamath_ablation_full_2025_05_06
llama_3.2_1b_megamath_ablation_full_2025_05_06 is a text generation model from deqing. Use it when you need the model to write or continue text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Generation
- Library
- transformers
- Model type
- llama
- Access
- Public
- Created
- May 6, 2025
- Updated
- May 10, 2025
- SHA
- a867c95d
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Base models
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. -->
llama_3.2_1b_megamath_ablation_full_2025_05_06
This model is a fine-tuned version of cnt_pretrain 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: 5e-05
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 6
- gradient_accumulation_steps: 16
- total_train_batch_size: 96
- total_eval_batch_size: 48
- 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: 500
- num_epochs: 1
Training results
Framework versions
- Transformers 4.51.3
- Pytorch 2.3.1+cu118
- Datasets 3.5.0
- Tokenizers 0.21.0
- Task
- Text Generation
- Library
- transformers
- Type
- llama
- Created
- May 6, 2025
- Updated
- May 10, 2025