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mistral-journal-finetune

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mistral-journal-finetune

This model is a fine-tuned version of TheBloke/Mistral-7B-v0.1-GPTQ on an unknown dataset.

Model description

More information needed

Intended uses & limitations

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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: 1
eval_batch_size: 1
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

Transformers 4.34.1
Pytorch 2.0.1+cu117
Datasets 2.14.5
Tokenizers 0.14.1

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Model tree for Ferrxni/mistral-journal-finetune

Base model

mistralai/Mistral-7B-v0.1

Quantized

TheBloke/Mistral-7B-v0.1-GPTQ

Finetuned

(5)

this model

Evaluation results

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