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MistralAI_iwslt15_small_sample – AI Model by Tohrumi | AlphaNeural AI

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Tohrumi/
MistralAI_iwslt15_small_sample

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unsloth/mistral-7b-bnb-4bit

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MistralAI_iwslt15_small_sample

This model is a fine-tuned version of unsloth/mistral-7b-bnb-4bit on an unknown 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: 0.0002
train_batch_size: 8
eval_batch_size: 8
seed: 4269
gradient_accumulation_steps: 4
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 1
num_epochs: 5
mixed_precision_training: Native AMP

Framework versions

PEFT 0.10.0
Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.15.2