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llama-7b-backward-model – AI Model by weichenh | AlphaNeural AI
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weichenh
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llama-7b-backward-model
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peft
safetensors
generated_from_trainer
meta-llama/Llama-2-7b-hf
adapter
llama2
us
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llama-7b-backward-model
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: 1.4241
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: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 4
optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
training_steps: 50
Training results
Training Loss
Epoch
Step
Validation Loss
1.3276
0.0041
10
1.4472
1.4759
0.0081
20
1.4379
1.5406
0.0122
30
1.4283
1.4877
0.0163
40
1.4238
1.7353
0.0203
50
1.4241
Framework versions
PEFT 0.14.0
Transformers 4.48.3
Pytorch 2.5.1+cu124
Datasets 3.5.0
Tokenizers 0.21.0
