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codellama2-finetuned-spiderdata – AI Model by MerziaAdamjee | AlphaNeural AI

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MerziaAdamjee/
codellama2-finetuned-spiderdata

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text-generation

generated_from_trainer

codellama/CodeLlama-7b-Instruct-hf

autotrain_compatible

text-generation-inference

endpoints_compatible

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codellama2-finetuned-spiderdata

This model is a fine-tuned version of codellama/CodeLlama-7b-Instruct-hf 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: 0.0002
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
num_epochs: 1

Training results

Framework versions

Transformers 4.34.0.dev0
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.14.0