Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
ShenaoZ_-_0.0001_withdpo_4iters_bs256_5551lr_iter_3-4bits – AI Model by RichardErkhov | AlphaNeural AI
You can deploy this model and start earning money today!
RichardErkhov
/
ShenaoZ_-_0.0001_withdpo_4iters_bs256_5551lr_iter_3-4bits
like
0
safetensors
mistral
4-bit
bitsandbytes
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
Quantization made by Richard Erkhov.
Github
Discord
Request more models
0.0001_withdpo_4iters_bs256_5551lr_iter_3 - bnb 4bits
Model creator:
https://huggingface.co/ShenaoZ/
Original model:
https://huggingface.co/ShenaoZ/0.0001_withdpo_4iters_bs256_5551lr_iter_3/
Original model description:
license: mit base_model: ShenaoZ/0.0001_withdpo_4iters_bs256_5551lr_iter_2 tags:
alignment-handbook
trl
dpo
generated_from_trainer
trl
dpo
generated_from_trainer datasets:
updated
original model-index:
name: 0.0001_withdpo_4iters_bs256_5551lr_iter_3 results: []
0.0001_withdpo_4iters_bs256_5551lr_iter_3
This model is a fine-tuned version of
ShenaoZ/0.0001_withdpo_4iters_bs256_5551lr_iter_2
on the updated and the original datasets.
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 4.40.2
Pytorch 2.1.2+cu121
Datasets 2.14.6
Tokenizers 0.19.1
