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finetune_cs_1 – AI Model by BENBENBENb | AlphaNeural AI
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finetune_cs_1
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safetensors
generated_from_trainer
lmsys/vicuna-7b-v1.5
finetune
llama2
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finetune_cs_1
This model is a fine-tuned version of
lmsys/vicuna-7b-v1.5
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.6272
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
lr_scheduler_warmup_steps: 5
num_epochs: 1
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
1.6907
1.0
150
1.6272
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.15.0
Tokenizers 0.15.0
