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zephyr-7b-sft-full-amazon – AI Model by sfulay | AlphaNeural AI
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zephyr-7b-sft-full-amazon
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transformers
pytorch
tensorboard
alexallm-v2
text-generation
alignment-handbook
trl
sft
generated_from_trainer
conversational
amazon_internal
mistralai/Mistral-7B-v0.1
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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zephyr-7b-sft-full-amazon
This model is a fine-tuned version of
mistralai/Mistral-7B-v0.1
on the amazon_internal dataset.
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: 4
seed: 42
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 4
total_train_batch_size: 128
total_eval_batch_size: 32
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
Framework versions
Transformers 4.41.2
Pytorch 2.1.2
Datasets 2.20.0
Tokenizers 0.19.1
