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AnLLM-EP-xllarge-wikiart – AI Model by pangjh3 | AlphaNeural AI
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AnLLM-EP-xllarge-wikiart
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transformers
pytorch
tensorboard
llama
text-generation
generated_from_trainer
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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allm-juhao-txllarge-fromscratch
This model is a fine-tuned version of [llama2-size-txlbase] on the None 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: 0.00025
train_batch_size: 4
eval_batch_size: 1
seed: 34
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 32
total_train_batch_size: 1024
total_eval_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant_with_warmup
lr_scheduler_warmup_steps: 20
num_epochs: 30.0
Training results
Framework versions
Transformers 4.28.0.dev0
Pytorch 1.13.1
Datasets 2.14.6
Tokenizers 0.13.3
