ihebMissaoui
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inssuranceChatGptV1

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inssuranceChatGptV1

This model is a fine-tuned version of unsloth/tinyllama-bnb-4bit 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: 1e-05
train_batch_size: 6
eval_batch_size: 8
seed: 3407
gradient_accumulation_steps: 12
total_train_batch_size: 72
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 5
num_epochs: 100
mixed_precision_training: Native AMP

Training results

Framework versions

PEFT 0.11.1
Transformers 4.39.3
Pytorch 2.2.2+cu121
Datasets 2.16.0
Tokenizers 0.15.2

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Model size

1.1B params

Architecture

llama

4-bit

Inference API

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Model tree for ihebMissaoui/inssuranceChatGptV1

Base model

unsloth/tinyllama-bnb-4bit

Adapter

(30)

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Evaluation results

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