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approx_nash_maxmin_iter_3 – AI Model by YYYYYYibo | AlphaNeural AI

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approx_nash_maxmin_iter_3

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text-generation

alignment-handbook

generated_from_trainer

autotrain_compatible

text-generation-inference

endpoints_compatible

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approx_nash_maxmin_iter_3

This model is a fine-tuned version of model/approx_nash_maxmin_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: 1
eval_batch_size: 2
seed: 42
distributed_type: multi-GPU
num_devices: 5
gradient_accumulation_steps: 26
total_train_batch_size: 130
total_eval_batch_size: 10
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 4.38.2
Pytorch 2.3.1+cu121
Datasets 2.14.6
Tokenizers 0.15.2