mistral-viggo-finetune

strickvl/mistral-viggo-finetune

mistral-viggo-finetune is a machine learning model from strickvl. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

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At a glance

Library: peft
License: apache-2.0
Access: Public
Created: Oct 8, 2024
Updated: Oct 8, 2024
SHA: c9278085

Base models

mistralai/Mistral-7B-v0.3

Datasets

viggo

Model card

From the Hugging Face model README

mistral-viggo-finetune

This model is a fine-tuned version of mistralai/Mistral-7B-v0.3 on the viggo dataset. It achieves the following results on the evaluation set:

Loss: 0.2520

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: 4
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 5
training_steps: 100

Training results

Training Loss	Epoch	Step	Validation Loss
0.297	0.1567	50	0.2849
0.2569	0.3135	100	0.2520

Framework versions

PEFT 0.13.1.dev0
Transformers 4.46.0.dev0
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.20.0

Library: peft
License: apache-2.0
Created: Oct 8, 2024
Updated: Oct 8, 2024