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zephyr-7b-sft-qlora – AI Model by terry69 | AlphaNeural AI
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terry69
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zephyr-7b-sft-qlora
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peft
tensorboard
safetensors
mistral
trl
sft
generated_from_trainer
mistralai/Mistral-7B-v0.1
adapter
apache-2.0
us
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zephyr-7b-sft-qlora
This model is a fine-tuned version of
mistralai/Mistral-7B-v0.1
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.7774
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: 0.0002
train_batch_size: 8
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 2
total_train_batch_size: 64
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
Training Loss
Epoch
Step
Validation Loss
0.7491
1.0
325
0.7774
Framework versions
PEFT 0.7.1
Transformers 4.39.0.dev0
Pytorch 2.2.2+cu121
Datasets 2.18.0
Tokenizers 0.15.2
