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medmcqa-alignment-lora-7b-2-epoch – AI Model by daze-unlv | AlphaNeural AI
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daze-unlv
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medmcqa-alignment-lora-7b-2-epoch
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peft
tensorboard
safetensors
mistral
trl
sft
generated_from_trainer
generator
mistralai/Mistral-7B-v0.1
adapter
apache-2.0
us
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medmcqa-alignment-lora-7b-2-epoch
This model is a fine-tuned version of
mistralai/Mistral-7B-v0.1
on the generator dataset. It achieves the following results on the evaluation set:
Loss: nan
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: 1
eval_batch_size: 1
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 2
total_train_batch_size: 8
total_eval_batch_size: 4
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
0.0
1.0
2601
nan
0.0
2.0
5202
nan
Framework versions
PEFT 0.7.1
Transformers 4.36.2
Pytorch 2.1.2
Datasets 2.14.6
Tokenizers 0.15.2
