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Thealth-Llama-2-7b_QA – AI Model by TachyHealth | AlphaNeural AI
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Thealth-Llama-2-7b_QA
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meta-llama/Llama-2-7b-hf
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FineTune_Llama-2-7b-hf_QA
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: 1.0193
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: 2.5e-05
train_batch_size: 20
eval_batch_size: 20
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 80
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 1
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
1.1623
0.17
100
1.0734
1.0691
0.33
200
1.0483
1.0333
0.5
300
1.0348
1.0374
0.67
400
1.0265
1.0246
0.83
500
1.0214
1.0243
1.0
600
1.0193
Framework versions
PEFT 0.7.1
Transformers 4.36.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.0
