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llama_domar_finetune – AI Model by thorirhrafn | AlphaNeural AI
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llama_domar_finetune
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peft
tensorboard
safetensors
generated_from_trainer
meta-llama/Llama-2-7b-hf
adapter
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llama_domar_finetune
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:
Loss: 0.5872
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: 1
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
0.5874
0.79
200
0.5963
0.5122
1.59
400
0.5917
0.5774
2.38
600
0.5889
0.5579
3.18
800
0.5872
0.5214
3.97
1000
0.5873
0.4606
4.77
1200
0.5872
Framework versions
PEFT 0.8.2
Transformers 4.38.1
Pytorch 2.2.0+cu118
Datasets 2.17.1
Tokenizers 0.15.2
