xlm-roberta-large-finetuned-sinquad-v4 – AI Model by 9wimu9 | AlphaNeural AI

You can deploy this model and start earning money today!

9wimu9/
xlm-roberta-large-finetuned-sinquad-v4

like

0

question-answering

generated_from_trainer

endpoints_compatible

Views

No views yet

xlm-roberta-large-finetuned-sinquad-v4

This model is a fine-tuned version of xlm-roberta-large on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.7988

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: 8e-06
train_batch_size: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss
1.3065	1.0	93	1.0228
0.7956	2.0	186	0.7859
0.6896	3.0	279	0.7428
0.5774	4.0	372	0.7281
0.4874	5.0	465	0.7300
0.3809	6.0	558	0.7324
0.3538	7.0	651	0.7640
0.3919	8.0	744	0.7800
0.5298	9.0	837	0.7840
0.3136	10.0	930	0.7988

Framework versions

Transformers 4.30.0.dev0
Pytorch 1.12.1+cu116
Datasets 2.6.1
Tokenizers 0.12.1