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XLM-processed-squad-24k – AI Model by FuuToru | AlphaNeural AI
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FuuToru
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XLM-processed-squad-24k
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transformers
pytorch
xlm-roberta
question-answering
generated_from_trainer
deepset/roberta-base-squad2
finetune
cc-by-4.0
endpoints_compatible
us
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XLM-processed-squad-24k
This model is a fine-tuned version of
deepset/roberta-base-squad2
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.2363
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: 2e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
0.3087
1.0
19129
0.2523
0.2701
2.0
38258
0.2369
0.2284
3.0
57387
0.2363
Framework versions
Transformers 4.33.0
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.13.3
