lang_adapter_fa_farsnews_xlm_roberta_base_10epochs

NightMachinery/lang_adapter_fa_farsnews_xlm_roberta_base_10epochs

lang_adapter_fa_farsnews_xlm_roberta_base_10epochs is a machine learning model from NightMachinery. 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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Public

Updated Mar 7, 2023

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6.4 GB

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At a glance

License: mit
Access: Public
Created: Mar 7, 2023
Updated: Mar 7, 2023
SHA: e6eeb103

Model card

From the Hugging Face model README

lang_adapter_fa_farsnews_xlm_roberta_base_10epochs

This model is a fine-tuned version of xlm-roberta-base on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.2902
Accuracy: 0.7154

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: 0.0001
train_batch_size: 5
eval_batch_size: 5
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.4927	1.11	500	1.3579	0.7092
1.4402	2.23	1000	1.3239	0.7104
1.4211	3.34	1500	1.3297	0.7101
1.4139	4.45	2000	1.2947	0.7176
1.3945	5.57	2500	1.3242	0.7140
1.4041	6.68	3000	1.2973	0.7145
1.4069	7.8	3500	1.2610	0.7200
1.3906	8.91	4000	1.2881	0.7185

Framework versions

Transformers 4.26.1
Pytorch 1.13.1+cu116
Datasets 2.10.1
Tokenizers 0.13.2

License: mit
Created: Mar 7, 2023
Updated: Mar 7, 2023