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llama-2-finetuned-qa-TOFU-dataset – AI Model by AlyGreo | AlphaNeural AI
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AlyGreo
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llama-2-finetuned-qa-TOFU-dataset
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peft
tensorboard
safetensors
trl
sft
generated_from_trainer
NousResearch/Llama-2-7b-chat-hf
adapter
us
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llama-2-finetuned-qa-TOFU-dataset
This model is a fine-tuned version of
NousResearch/Llama-2-7b-chat-hf
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.1874
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: 5e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 3
total_train_batch_size: 12
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
218
1.2291
No log
1.99
436
1.1874
Framework versions
PEFT 0.10.0
Transformers 4.39.3
Pytorch 2.1.2
Datasets 2.18.0
Tokenizers 0.15.2