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llama2-7b-recipe-qlora – AI Model by cadaeic | AlphaNeural AI
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cadaeic
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llama2-7b-recipe-qlora
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transformers
llama
text-generation
generated_from_trainer
NousResearch/Llama-2-7b-hf
quantized
autotrain_compatible
endpoints_compatible
4-bit
bitsandbytes
us
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qlora-out
This model is a fine-tuned version of
NousResearch/Llama-2-7b-hf
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.8753
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: 6
eval_batch_size: 6
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 48
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 10
num_epochs: 50
Training results
Training Loss
Epoch
Step
Validation Loss
0.9567
8.0
20
0.9261
0.852
16.0
40
0.8600
0.7761
24.0
60
0.8580
0.7147
32.0
80
0.8706
0.7061
40.0
100
0.8753
Framework versions
Transformers 4.34.0.dev0
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.14.0
