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first_test_trainer – AI Model by matchmaking | AlphaNeural AI

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matchmaking/
first_test_trainer

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llava-hf/llava-v1.6-mistral-7b-hf

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first_test_trainer

This model is a fine-tuned version of llava-hf/llava-v1.6-mistral-7b-hf 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: 0.00017
train_batch_size: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 20
total_train_batch_size: 20
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
num_epochs: 5
mixed_precision_training: Native AMP

Training results

Framework versions

PEFT 0.10.0
Transformers 4.40.0
Pytorch 2.3.0+cu121
Datasets 2.19.0
Tokenizers 0.19.1