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mistral-journal-finetune – AI Model by dendimaki | AlphaNeural AI

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dendimaki/
mistral-journal-finetune

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mistralai/Mistral-7B-v0.1

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mistral-journal-finetune

This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on an unknown dataset. It achieves the following results on the evaluation set:

eval_loss: 0.1399
eval_runtime: 1839.75
eval_samples_per_second: 0.231
eval_steps_per_second: 0.029
epoch: 0.0294
step: 50

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: 2.5e-05
train_batch_size: 2
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 1
training_steps: 100

Framework versions

PEFT 0.10.1.dev0
Transformers 4.41.0.dev0
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.19.1