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large-model-finetuned-code-alpaca – AI Model by lewtun | AlphaNeural AI
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lewtun
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large-model-finetuned-code-alpaca
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transformers
pytorch
tensorboard
gpt_bigcode
text-generation
generated_from_trainer
lewtun/code_alpaca
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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large-model-finetuned-code-alpaca
This model is a fine-tuned version of
bigcode/large-model
on the lewtun/code_alpaca dataset. It achieves the following results on the evaluation set:
Loss: 1.1605
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: 1
eval_batch_size: 1
seed: 42
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 8
total_train_batch_size: 64
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
training_steps: 1
Training results
Training Loss
Epoch
Step
Validation Loss
1.1672
0.03
1
1.1605
Framework versions
Transformers 4.28.1
Pytorch 1.13.1+cu117
Datasets 2.10.1
Tokenizers 0.13.3
