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xlm-roberta-base-squad2-finetuned-squad-2 – AI Model by thdihan | AlphaNeural AI
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thdihan
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xlm-roberta-base-squad2-finetuned-squad-2
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transformers
tensorboard
safetensors
xlm-roberta
question-answering
generated_from_trainer
deepset/xlm-roberta-base-squad2
finetune
cc-by-4.0
endpoints_compatible
us
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xlm-roberta-base-squad2-finetuned-squad-2
This model is a fine-tuned version of
deepset/xlm-roberta-base-squad2
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.8184
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: 0.0002
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
1.8002
1.0
5000
1.6125
1.6407
2.0
10000
1.7686
1.4773
3.0
15000
1.7135
0.997
4.0
20000
1.5725
0.7288
5.0
25000
1.8184
Framework versions
Transformers 4.41.2
Pytorch 2.1.2
Datasets 2.19.2
Tokenizers 0.19.1
