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prog-y-tiny-llama-CDL-17 – AI Model by hosseinbv | AlphaNeural AI
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prog-y-tiny-llama-CDL-17
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transformers
tensorboard
safetensors
progressive_yoco_llama
text-generation
llama-factory
full
generated_from_trainer
conversational
TinyLlama/TinyLlama_v1.1
finetune
other
autotrain_compatible
endpoints_compatible
us
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progressive-yoco-tiny-llama-CDL-17
This model is a fine-tuned version of
/ephemeral/hossein/output/progressive-yoco-tiny-llama-CDL-18
on the reformatted_ultrachat_200k, the reformatted_MathInstruct and the small_slim_pajama datasets.
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: 42
eval_batch_size: 1
seed: 42
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 6
total_train_batch_size: 2016
total_eval_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.005
training_steps: 150
Training results
Framework versions
Transformers 4.45.2
Pytorch 2.5.1+cu124
Datasets 3.1.0
Tokenizers 0.20.3
