movies_gptq_recommend_v0

ypl/movies_gptq_recommend_v0

movies_gptq_recommend_v0 is a machine learning model from ypl. 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 mit.

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

Downloads · 30 days

15% of all-time downloads

All-time downloads

Public

Repo size

110 MB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors54.6 MB · 96%

At a glance

Library: peft
License: mit
Access: Public
Created: Feb 26, 2024
Updated: Feb 26, 2024
SHA: 82daa356

Base models

TheBloke/zephyr-7B-beta-GPTQ

Model card

From the Hugging Face model README

movies_gptq_recommend_v0

This model is a fine-tuned version of TheBloke/zephyr-7B-beta-GPTQ on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.2649

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: 2e-05
train_batch_size: 1
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: 1000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.4003	0.0	100	0.3292
0.3077	0.01	200	0.3024
0.2775	0.01	300	0.2978
0.2873	0.01	400	0.2866
0.2782	0.02	500	0.2805
0.2859	0.02	600	0.2740
0.2573	0.02	700	0.2709
0.2753	0.03	800	0.2679
0.265	0.03	900	0.2660
0.263	0.03	1000	0.2649

Framework versions

PEFT 0.8.2
Transformers 4.37.0.dev0
Pytorch 2.1.0.dev20230621+cu117
Datasets 2.17.0
Tokenizers 0.15.0

Library: peft
License: mit
Created: Feb 26, 2024
Updated: Feb 26, 2024