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LLama-translation – AI Model by datha29 | AlphaNeural AI

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datha29/
LLama-translation

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TheBloke/Llama-2-7B-GPTQ

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LLama-translation

This model is a fine-tuned version of TheBloke/Llama-2-7B-GPTQ on the None dataset. It achieves the following results on the evaluation set:

eval_loss: 1.3955
eval_runtime: 179.6096
eval_samples_per_second: 9.565
eval_steps_per_second: 1.197
epoch: 2.0
step: 774

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: 0.0001
train_batch_size: 40
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
training_steps: 1285
mixed_precision_training: Native AMP

Framework versions

PEFT 0.10.0
Transformers 4.39.3
Pytorch 2.2.2+cu121
Datasets 2.18.0
Tokenizers 0.15.2