mistral-dict-finetune

tahazaryab/mistral-dict-finetune

mistral-dict-finetune is a machine learning model from tahazaryab. 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: Apr 4, 2024
Updated: Apr 12, 2024
SHA: 9b2ba5cd

Base models

mistralai/Mistral-7B-v0.1

Model card

From the Hugging Face model README

mistral-dict-finetune

This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.0971

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: 0.00025
train_batch_size: 2
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: 150

Training results

Training Loss	Epoch	Step	Validation Loss
0.5253	0.02	10	1.2809
0.6095	0.04	20	1.3211
0.6344	0.06	30	1.2456
0.6884	0.08	40	1.2517
0.8843	0.1	50	1.1908
1.1089	0.12	60	1.1586
1.1403	0.14	70	1.1397
1.1651	0.16	80	1.1363
1.2073	0.18	90	1.1258
1.1118	0.2	100	1.1154
1.0701	0.22	110	1.1106
1.1988	0.24	120	1.1064
1.1405	0.26	130	1.1029
1.0875	0.28	140	1.0986
1.1385	0.3	150	1.0971

Framework versions

PEFT 0.10.1.dev0
Transformers 4.40.0.dev0
Pytorch 2.1.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2

Library: peft
License: apache-2.0
Created: Apr 4, 2024
Updated: Apr 12, 2024