CR-FT

isithin/CR-FT

CR-FT is a machine learning model from isithin. 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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Hugging Face

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At a glance

Library: peft
License: apache-2.0
Access: Public
Created: Jul 31, 2024
Updated: Jul 31, 2024
SHA: c4f71844

Base models

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

Model card

From the Hugging Face model README

RC-ft

This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.8155

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: 3e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 2
num_epochs: 7
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
3.735	0.9524	5	2.6197
2.7657	1.9048	10	2.1964
2.3351	2.8571	15	1.9853
1.7422	4.0	21	1.8796
1.9246	4.9524	26	1.8394
1.8626	5.9048	31	1.8202
1.5351	6.6667	35	1.8155

Framework versions

PEFT 0.12.0
Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1

Library: peft
License: apache-2.0
Created: Jul 31, 2024
Updated: Jul 31, 2024