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tmp2-codellama-7b-openapi-completion-ctx-lvl-fim-05-spm-2048 – AI Model by Zazo2020 | AlphaNeural AI
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Zazo2020
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tmp2-codellama-7b-openapi-completion-ctx-lvl-fim-05-spm-2048
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peft
tensorboard
safetensors
generated_from_trainer
codellama/CodeLlama-7b-hf
adapter
llama2
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tmp2-codellama-7b-openapi-completion-ctx-lvl-fim-05-spm-2048
This model is a fine-tuned version of
codellama/CodeLlama-7b-hf
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.6111
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: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.05
training_steps: 100
Training results
Training Loss
Epoch
Step
Validation Loss
0.5469
1.0
100
0.6111
Framework versions
PEFT 0.11.1
Transformers 4.41.1
Pytorch 2.4.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1
