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SoC_llama – AI Model by BattleTag | AlphaNeural AI
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SoC_llama
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peft
tensorboard
safetensors
trl
sft
generated_from_trainer
meta-llama/Llama-2-7b-hf
adapter
llama2
us
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SoC_llama
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: 1.2722
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: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
lr_scheduler_warmup_ratio: 0.3
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
1.3616
0.3656
100
1.3015
1.3188
0.7313
200
1.2873
1.263
1.0969
300
1.2799
1.2907
1.4625
400
1.2760
1.2168
1.8282
500
1.2722
Framework versions
PEFT 0.11.2.dev0
Transformers 4.43.0.dev0
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1
