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zephyr-7b-sft-lora – AI Model by atadaco | AlphaNeural AI
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atadaco
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zephyr-7b-sft-lora
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tensorboard
safetensors
generated_from_trainer
mistralai/Mistral-7B-v0.1
finetune
apache-2.0
us
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zephyr-7b-sft-lora
This model is a fine-tuned version of
mistralai/Mistral-7B-v0.1
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.3767
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: 4
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 128
total_train_batch_size: 4096
total_eval_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
1.3968
0.67
34
1.3765
Framework versions
Transformers 4.35.0
Pytorch 2.1.0
Datasets 2.14.6
Tokenizers 0.14.1
