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mistral_envs_claim_finetune1 – AI Model by Haimee | AlphaNeural AI

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Haimee/
mistral_envs_claim_finetune1

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mistralai/Mistral-7B-Instruct-v0.2

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mistral_envs_claim_finetune1

This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 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: 0.0002
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 5
total_train_batch_size: 40
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
training_steps: 100
mixed_precision_training: Native AMP

Training results

Framework versions

PEFT 0.10.0
Transformers 4.40.1
Pytorch 2.1.0a0+29c30b1
Datasets 2.19.0
Tokenizers 0.19.1