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Llama2-SFT-AIBE-silver-v1 – AI Model by jmukesh99 | AlphaNeural AI
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Llama2-SFT-AIBE-silver-v1
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meta-llama/Llama-2-7b-hf
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Llama2-SFT-AIBE-silver-v1
This model is a fine-tuned version of
meta-llama/Llama-2-7b-hf
on an unknown dataset. It achieves the following results on the evaluation set:
eval_loss: 0.6213
eval_runtime: 34.7227
eval_samples_per_second: 1.814
eval_steps_per_second: 0.23
epoch: 6.35
step: 400
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: 0.0002
train_batch_size: 4
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
lr_scheduler_warmup_ratio: 0.03
num_epochs: 10
Framework versions
Transformers 4.31.0
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.13.3
