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AnLLM-AC-7B-translation – AI Model by pangjh3 | AlphaNeural AI
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AnLLM-AC-7B-translation
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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-addac-alpacanewstest17to20-ac-7b
This model is a fine-tuned version of
allm-ac-7b
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: 2e-05
train_batch_size: 8
eval_batch_size: 1
seed: 34
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 8
total_train_batch_size: 512
total_eval_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.03
num_epochs: 3.0
Training results
Framework versions
Transformers 4.28.0.dev0
Pytorch 1.13.1+cu117
Datasets 2.14.6
Tokenizers 0.13.3
