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0.01_ablation_4iters_bs256_iter_1 – AI Model by ShenaoZ | AlphaNeural AI
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0.01_ablation_4iters_bs256_iter_1
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transformers
safetensors
mistral
text-generation
alignment-handbook
generated_from_trainer
trl
dpo
conversational
HuggingFaceH4/ultrafeedback_binarized
HuggingFaceH4/mistral-7b-sft-beta
finetune
mit
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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0.01_ablation_4iters_bs256_iter_1
This model is a fine-tuned version of
HuggingFaceH4/mistral-7b-sft-beta
on the HuggingFaceH4/ultrafeedback_binarized 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: 5e-07
train_batch_size: 8
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 4
total_train_batch_size: 256
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
Framework versions
Transformers 4.36.2
Pytorch 2.1.2+cu121
Datasets 2.14.6
Tokenizers 0.15.2
