tuned_XLM_Rbase_after_big

QooBao/tuned_XLM_Rbase_after_big

tuned_XLM_Rbase_after_big is a machine learning model from QooBao. Use it for the machine learning task on the model card, and read the license before you ship it in a product.

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

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At a glance

Model type: xlm-roberta
Access: Public
Created: Aug 5, 2024
Updated: Aug 5, 2024
SHA: d269f194

Model card

From the Hugging Face model README

tuned_XLM_Rbase_after_big

This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.9907

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: 1e-05
train_batch_size: 8
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_ratio: 0.05
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss
1.9388	1.0	1188	1.7106
1.668	2.0	2376	1.4535
1.3766	3.0	3564	1.3287
1.2437	4.0	4752	1.1819
1.0564	5.0	5940	1.1152
0.937	6.0	7128	1.0287
0.8336	7.0	8316	1.0070
0.7187	8.0	9504	0.9907
0.6473	9.0	10692	0.9978
0.5986	10.0	11880	1.0023

Framework versions

Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1

Type: xlm-roberta
Created: Aug 5, 2024
Updated: Aug 5, 2024