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minillama2 – AI Model by lucaelin | AlphaNeural AI

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lucaelin/
minillama2

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minillama2

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

eval_loss: 3.9366
eval_runtime: 0.8539
eval_samples_per_second: 149.905
eval_steps_per_second: 2.342
epoch: 0.1147
step: 4300

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: 0.0005
train_batch_size: 32
eval_batch_size: 64
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 256
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 100
training_steps: 37500.0

Framework versions

Transformers 4.44.0
Pytorch 2.2.1
Datasets 2.20.0
Tokenizers 0.19.1