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Test_oasst1_l0.0002_4 – AI Model by alexander-hm | AlphaNeural AI

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alexander-hm/
Test_oasst1_l0.0002_4

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huggyllama/llama-7b

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Test_oasst1_l0.0002_4

This model is a fine-tuned version of huggyllama/llama-7b on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.7339

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: 1
seed: 0
gradient_accumulation_steps: 16
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
lr_scheduler_warmup_ratio: 0.03
training_steps: 1

Training results

Framework versions

PEFT 0.12.1.dev0
Transformers 4.45.0.dev0
Pytorch 2.3.0+cu121
Datasets 2.19.0
Tokenizers 0.19.1