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llama2-7b-qlora-finetuned – AI Model by aithal | AlphaNeural AI
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llama2-7b-qlora-finetuned
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peft
safetensors
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meta-llama/Llama-2-7b-hf
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llama2
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llama2-7b-qlora-finetuned
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: 16.9329
Accuracy: 0.0
Rouge1: 0.0
Rouge2: 0.0
Rougel: 0.0
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: 4
eval_batch_size: 4
seed: 42
distributed_type: multi-GPU
num_devices: 2
gradient_accumulation_steps: 16
total_train_batch_size: 128
total_eval_batch_size: 8
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
Rouge1
Rouge2
Rougel
20.8734
1.4159
10
18.4987
0.0
0.0
0.0
0.0
20.0557
2.8319
20
16.9290
0.0
0.0
0.0
0.0
Framework versions
PEFT 0.13.2
Transformers 4.46.3
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.20.0
