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storage_cache – AI Model by DanielSc4 | AlphaNeural AI
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storage_cache
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safetensors
generated_from_trainer
HuggingFaceH4/zephyr-7b-beta
finetune
mit
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storage_cache
This model is a fine-tuned version of
HuggingFaceH4/zephyr-7b-beta
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.9586
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: 0.0003
train_batch_size: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 32
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 10
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
2.0447
1.16
25
2.0142
1.84
2.32
50
1.9586
Framework versions
Transformers 4.35.0
Pytorch 2.0.0+cu117
Datasets 2.14.6
Tokenizers 0.14.1
