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finetuned-DeciLM-5000-v1.0

Text Generation

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finetuned-DeciLM-5000-v1.0

This model is a fine-tuned version of Deci/DeciLM-7B-instruct on an unknown 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: 4
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.03
num_epochs: 1

Training results

Framework versions

Transformers 4.35.2
Pytorch 2.1.2+cu121
Datasets 2.16.0
Tokenizers 0.15.0

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Safetensors

Model size

7.04B params

Tensor type

FP16

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Model tree for abdulrahman-nuzha/finetuned-DeciLM-5000-v1.0

Base model

Deci/DeciLM-7B-instruct

Finetuned

(2)

this model

Dataset used to train abdulrahman-nuzha/finetuned-DeciLM-5000-v1.0

Evaluation results

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