Zeroshot-3.2.3-Mistral-7B-pipeline-config

Weni/Zeroshot-3.2.3-Mistral-7B-pipeline-config

Zeroshot-3.2.3-Mistral-7B-pipeline-config is a machine learning model from Weni. 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. --

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At a glance

Library: peft
License: mit
Access: Public
Created: Feb 8, 2024
Updated: Feb 9, 2024
SHA: 030d0e1c

Base models

HuggingFaceH4/zephyr-7b-beta

Datasets

generator

Model card

From the Hugging Face model README

Zeroshot-3.2.3-Mistral-7B-pipeline-config

This model is a fine-tuned version of HuggingFaceH4/zephyr-7b-beta on the generator dataset. It achieves the following results on the evaluation set:

Loss: 0.7373

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: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.03
training_steps: 342
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
1.0342	0.81	50	0.8600
0.8239	1.62	100	0.8089
0.7904	2.43	150	0.7841
0.7596	3.24	200	0.7662
0.7394	4.05	250	0.7511
0.7133	4.86	300	0.7373

Framework versions

PEFT 0.7.1
Transformers 4.38.0.dev0
Pytorch 2.1.0+cu118
Datasets 2.16.1
Tokenizers 0.15.1

Library: peft
License: mit
Created: Feb 8, 2024
Updated: Feb 9, 2024