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vicuna-13b-83k-dataset-new-combined – AI Model by AlekseyKorshuk | AlphaNeural AI
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AlekseyKorshuk
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vicuna-13b-83k-dataset-new-combined
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transformers
pytorch
llama
text-generation
generated_from_trainer
apache-2.0
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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vicuna-13b-83k-dataset-new-combined
This model is a fine-tuned version of
eachadea/vicuna-13b-1.1
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.5078
Accuracy: 0.0120
Entropy: 1.6010
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: 1e-05
train_batch_size: 1
eval_batch_size: 1
seed: 42
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 4
total_train_batch_size: 32
total_eval_batch_size: 8
optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.03
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
Entropy
1.6308
1.0
5127
1.5078
0.0120
1.6010
Framework versions
Transformers 4.28.1
Pytorch 2.0.0+cu117
Datasets 2.10.1
Tokenizers 0.13.3
