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zephyr-7b-beta-item-mining – AI Model by Ning3211 | AlphaNeural AI
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zephyr-7b-beta-item-mining
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tensorboard
safetensors
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HuggingFaceH4/zephyr-7b-beta
finetune
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zephyr-7b-beta-item-mining
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: 1.9391
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: 2
eval_batch_size: 2
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 64
total_train_batch_size: 512
total_eval_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
num_epochs: 1
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
1.9655
0.23
59
1.9391
Framework versions
Transformers 4.35.0
Pytorch 2.0.0
Datasets 2.14.6
Tokenizers 0.14.1
