Innovative-deberta-v3-xsmall-qwen-2-72B-768

avinasht/Innovative-deberta-v3-xsmall-qwen-2-72B-768

Innovative-deberta-v3-xsmall-qwen-2-72B-768 is a machine learning model from avinasht. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.

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

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At a glance

License: mit
Model type: deberta-v2
Access: Public
Created: Nov 30, 2024
Updated: Nov 30, 2024
SHA: 4ea5525e

Base models

microsoft/deberta-v3-xsmall

Model card

From the Hugging Face model README

Innovative-deberta-v3-xsmall-qwen-2-72B-768

This model is a fine-tuned version of microsoft/deberta-v3-xsmall on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0889
Accuracy: 0.9738
F1: 0.9746
Precision: 0.9770
Recall: 0.9738

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-05
train_batch_size: 10
eval_batch_size: 10
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 40
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
0.0324	0.9994	1279	0.0889	0.9738	0.9746	0.9770	0.9738

Framework versions

Transformers 4.42.2
Pytorch 2.2.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1

Type: deberta-v2
License: mit
Created: Nov 30, 2024
Updated: Nov 30, 2024