outputs

FINETUNERMYSTRAL/outputs

outputs is a machine learning model from FINETUNERMYSTRAL. 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

39% of all-time downloads

All-time downloads

Public

Repo size

168 MB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors168 MB · 99%

At a glance

Library: peft
License: apache-2.0
Access: Public
Created: Feb 3, 2024
Updated: Feb 3, 2024
SHA: 37f6e5bc

Base models

alexsherstinsky/Mistral-7B-v0.1-sharded

Model card

From the Hugging Face model README

outputs

This model is a fine-tuned version of alexsherstinsky/Mistral-7B-v0.1-sharded on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.0000

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: 5e-06
train_batch_size: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 2
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.0235	0.07	100	0.0231
0.0187	0.15	200	0.0185
0.0141	0.22	300	0.0140
0.0085	0.29	400	0.0083
0.0015	0.37	500	0.0014
0.0007	0.44	600	0.0003
0.0005	0.52	700	0.0001
0.0004	0.59	800	0.0001
0.0003	0.66	900	0.0001
0.0001	0.74	1000	0.0000
0.0001	0.81	1100	0.0000
0.0	0.88	1200	0.0000
0.0001	0.96	1300	0.0000

Framework versions

PEFT 0.8.2
Transformers 4.38.0.dev0
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.1

Library: peft
License: apache-2.0
Created: Feb 3, 2024
Updated: Feb 3, 2024