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biomistral-7b-wo-kqa_golden-iter-sft-step2 – AI Model by Minbyul | AlphaNeural AI
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Minbyul
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biomistral-7b-wo-kqa_golden-iter-sft-step2
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transformers
safetensors
mistral
text-generation
alignment-handbook
trl
sft
generated_from_trainer
conversational
HuggingFaceH4/deita-10k-v0-sft
Minbyul/biomistral-7b-wo-kqa_golden-iter-sft-dpo-step1
finetune
apache-2.0
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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biomistral-7b-wo-kqa_golden-iter-sft-step2
This model is a fine-tuned version of
Minbyul/biomistral-7b-wo-kqa_golden-iter-sft-dpo-step1
on the HuggingFaceH4/deita-10k-v0-sft dataset. It achieves the following results on the evaluation set:
Loss: 1.7672
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: 4
gradient_accumulation_steps: 4
total_train_batch_size: 64
total_eval_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
0.4982
0.95
13
1.4957
0.2254
1.96
27
1.6817
0.1095
2.84
39
1.7672
Framework versions
Transformers 4.39.0.dev0
Pytorch 2.1.2
Datasets 2.14.6
Tokenizers 0.15.2
