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llama-3.1-8b-10k – AI Model by laczh666 | AlphaNeural AI

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laczh666/
llama-3.1-8b-10k

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text-generation

alignment-handbook

generated_from_trainer

autotrain_compatible

text-generation-inference

endpoints_compatible

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llama-3.1-8b-10k

This model is a fine-tuned version of save_model/llama-3.1-8b on the datasets/10k_1 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: 5e-07
train_batch_size: 2
eval_batch_size: 4
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 16
total_train_batch_size: 128
total_eval_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1

Training results

Framework versions

Transformers 4.44.2
Pytorch 2.2.2
Datasets 2.18.0
Tokenizers 0.19.1