results_packing

Rub11037/results_packing

results_packing is a text generation model from Rub11037. Use it when you need the model to write or continue text. It is set up for adapter-transformers. 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

Task: Text Generation
Library: adapter-transformers
License: apache-2.0
Access: Public
Created: May 4, 2024
Updated: May 4, 2024
SHA: 97bb986c

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Base models

SanjiWatsuki/zephyrnt-3.8b

Model card

From the Hugging Face model README

This model is a fine-tuned version of SanjiWatsuki/zephyrnt-3.8b on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.9395

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: 3e-05
train_batch_size: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 4
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
lr_scheduler_warmup_ratio: 0.03
training_steps: 100
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
2.1345	2.3256	50	1.3787
1.1455	4.6512	100	0.9395

Framework versions

PEFT 0.10.0
Transformers 4.40.1
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.19.1

Task: Text Generation
Library: adapter-transformers
License: apache-2.0
Created: May 4, 2024
Updated: May 4, 2024