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goatV10-QLORA – AI Model by abeiler | AlphaNeural AI
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goatV10-QLORA
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transformers
pytorch
llama
text-generation
generated_from_trainer
meta-llama/Llama-2-7b-hf
finetune
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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goatV10-QLORA
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: 0.3860
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: 0.0001
train_batch_size: 4
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
0.4692
0.16
200
0.4549
0.4234
0.31
400
0.4144
0.3943
0.47
600
0.4011
0.4079
0.63
800
0.3922
0.4171
0.79
1000
0.3877
0.3983
0.94
1200
0.3861
Framework versions
Transformers 4.33.1
Pytorch 2.0.0
Datasets 2.12.0
Tokenizers 0.13.3
