resume-summarization-finetuned-mistral-7b

waelChafei/resume-summarization-finetuned-mistral-7b

resume-summarization-finetuned-mistral-7b is a machine learning model from waelChafei. 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. --

Downloads · 30 days

3% of all-time downloads

All-time downloads

271

Public

Repo size

1.2 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors1.2 GB · 100%

At a glance

Library: peft
License: apache-2.0
Access: Public
Created: May 7, 2024
Updated: May 7, 2024
SHA: 9a15b991

Base models

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

Datasets

generator

Model card

From the Hugging Face model README

resume-summarization-finetuned-mistral-7b

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

Loss: 2.9103

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: 4
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
lr_scheduler_warmup_steps: 0.03
training_steps: 100

Training results

Training Loss	Epoch	Step	Validation Loss
1.8838	0.6897	20	2.2258
1.4079	1.3793	40	2.3118
1.207	2.0690	60	2.4381
0.765	2.7586	80	2.6361
0.385	3.4483	100	2.9103

Framework versions

PEFT 0.10.0
Transformers 4.40.2
Pytorch 2.1.2
Datasets 2.16.0
Tokenizers 0.19.1

Library: peft
License: apache-2.0
Created: May 7, 2024
Updated: May 7, 2024