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llama27bchat_neurosummarize – AI Model by milanimcgraw | AlphaNeural AI
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milanimcgraw
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llama27bchat_neurosummarize
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peft
tensorboard
safetensors
trl
sft
generated_from_trainer
generator
meta-llama/Llama-2-7b-chat-hf
adapter
llama2
us
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llama27bchat_summarize
This model is a fine-tuned version of
meta-llama/Llama-2-7b-chat-hf
on the generator dataset. It achieves the following results on the evaluation set:
Loss: 1.7720
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: 1
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_steps: 5
training_steps: 50
Training results
Training Loss
Epoch
Step
Validation Loss
1.5269
0.0980
25
1.7536
1.4924
0.1961
50
1.7720
Framework versions
PEFT 0.12.0
Transformers 4.43.2
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1
