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llama-2-7b-sft-lora – AI Model by Fredh99 | AlphaNeural AI
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Fredh99
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llama-2-7b-sft-lora
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transformers
tensorboard
safetensors
llama
text-generation
generated_from_trainer
conversational
meta-llama/Llama-2-7b-hf
finetune
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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llama-2-7b-sft-lora
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: 1.4449
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: 2e-05
train_batch_size: 4
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 128
total_train_batch_size: 4096
total_eval_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
1.4451
0.69
35
1.4448
Framework versions
Transformers 4.35.0
Pytorch 2.1.1+cu121
Datasets 2.14.6
Tokenizers 0.14.1
