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Fine-Tune-Adapters – AI Model by Andrei-Alex | AlphaNeural AI

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Andrei-Alex/
Fine-Tune-Adapters

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text-generation

generated_from_trainer

meta-llama/Llama-2-7b-chat-hf

autotrain_compatible

endpoints_compatible

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Fine-Tune-Adapters

This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf 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: 0.0002
train_batch_size: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 4
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

Framework versions

Transformers 4.31.0
Pytorch 2.0.1+cu117
Datasets 2.14.4
Tokenizers 0.13.3