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z-finance-llama160m – AI Model by zacsi | AlphaNeural AI

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z-finance-llama160m

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eqhylxx/finance-llama160m

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z-finance-llama160m

This model is a fine-tuned version of eqhylxx/finance-llama160m on the None 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: 0.0001
train_batch_size: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 50
training_steps: 500
mixed_precision_training: Native AMP

Training results

Framework versions

PEFT 0.12.1.dev0
Transformers 4.45.0.dev0
Pytorch 2.1.2
Datasets 2.20.0
Tokenizers 0.19.1