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olmo-1b-4k-93k-hellaswag – AI Model by jungsin3 | AlphaNeural AI
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olmo-1b-4k-93k-hellaswag
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transformers
safetensors
olmo2
text-generation
generated_from_trainer
jungsin3/olmo-1b-4k-93k
finetune
autotrain_compatible
endpoints_compatible
us
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olmo-1b-4k-93k-hellaswag
This model is a fine-tuned version of
jungsin3/olmo-1b-4k-93k
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
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 2
total_train_batch_size: 8
total_eval_batch_size: 32
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: 4
Training results
Framework versions
Transformers 4.55.4
Pytorch 2.5.1+cu121
Datasets 4.0.0
Tokenizers 0.21.4
