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Zloss-49K-tokenized-20B-v0.1 – AI Model by Cambridge-KAIST2 | AlphaNeural AI
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Cambridge-KAIST2
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Zloss-49K-tokenized-20B-v0.1
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transformers
safetensors
llama
text-generation
generated_from_trainer
conversational
allenai/OLMo-7B-0724-hf
finetune
apache-2.0
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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Zloss-49K-tokenized-20B-v0.1
This model is a fine-tuned version of
allenai/OLMo-7B-0724-hf
on the gartland/finewebedu-49K-tokenized-20B 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: 0.0006
train_batch_size: 64
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 2
gradient_accumulation_steps: 2
total_train_batch_size: 256
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: cosine
lr_scheduler_warmup_steps: 700
num_epochs: 1
Training results
Framework versions
Transformers 4.49.0
Pytorch 2.4.1+cu124
Datasets 3.6.0
Tokenizers 0.21.2
