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textbook – AI Model by Raneechu | AlphaNeural AI
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peft
tensorboard
safetensors
generated_from_trainer
meta-llama/Llama-2-7b-hf
adapter
llama2
us
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textbook
This model is a fine-tuned version of
meta-llama/Llama-2-7b-hf
on the None dataset. It achieves the following results on the evaluation set:
Loss: 3.6757
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: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
training_steps: 1
Training results
Training Loss
Epoch
Step
Validation Loss
3.9155
0.0258
1
3.6757
Framework versions
Transformers 4.40.1
Pytorch 2.1.1+cu121
Datasets 2.14.5
Tokenizers 0.19.1
Training procedure
Framework versions
PEFT 0.6.2
