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tied-proposed-checkpoint-25000 – AI Model by Cambridge-KAIST2 | AlphaNeural AI
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Cambridge-KAIST2
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tied-proposed-checkpoint-25000
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transformers
safetensors
llama
generated_from_trainer
allenai/OLMo-7B-0724-hf
finetune
apache-2.0
text-generation-inference
endpoints_compatible
us
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tied-proposed-checkpoint-25000
This model is a fine-tuned version of
allenai/OLMo-7B-0724-hf
on the pico-lm/pretokenized-dolma 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: 0.003
train_batch_size: 1024
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 2
total_train_batch_size: 2048
total_eval_batch_size: 16
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: warmup_stable_decay
lr_scheduler_warmup_steps: 1000
num_epochs: 1
Training results
Framework versions
Transformers 4.47.1
Pytorch 2.4.1+cu124
Datasets 3.2.0
Tokenizers 0.21.0
