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olmo-1b-v2-colab-sft-66000 – AI Model by jungsin3 | AlphaNeural AI
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olmo-1b-v2-colab-sft-66000
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transformers
safetensors
olmo2
text-generation
generated_from_trainer
allenai/OLMo-2-0425-1B
finetune
apache-2.0
endpoints_compatible
us
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olmo-1b-v2-colab-sft
This model is a fine-tuned version of
allenai/OLMo-2-0425-1B
on the None 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: 3
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 3
gradient_accumulation_steps: 6
total_train_batch_size: 54
total_eval_batch_size: 24
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 1
Training results
Framework versions
Transformers 4.57.3
Pytorch 2.9.0+cu128
Datasets 4.4.1
Tokenizers 0.22.2
