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law-hang-cot-2300-hang-data-all-batch1-epochs6-lr1e-05-length2048 – AI Model by MNC-LLM | AlphaNeural AI
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MNC-LLM
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law-hang-cot-2300-hang-data-all-batch1-epochs6-lr1e-05-length2048
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transformers
pytorch
llama
text-generation
generated_from_trainer
MNC-LLM/Mistral-7B-NWS-u2k-eng-cot-ep4-lr1e-05
finetune
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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batch1_epochs6_lr1e-05_paged_adamw_32bit_cosine_length2048_warmup_0.05_max_grad1.0_grad_accu16
This model is a fine-tuned version of
MNC-LLM/Mistral-7B-NWS-u2k-eng-cot-ep4-lr1e-05
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: 1e-05
train_batch_size: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.05
num_epochs: 6
Training results
Framework versions
Transformers 4.34.0
Pytorch 2.0.1+cu117
Datasets 2.14.5
Tokenizers 0.14.0