Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
xlm-roberta-base-finetuned-pquad-squad-finetuned-PersianQuAD_DeepseekQA_QA_Ch-3epochs – AI Model by Z-Jafari | AlphaNeural AI
You can deploy this model and start earning money today!
Z-Jafari
/
xlm-roberta-base-finetuned-pquad-squad-finetuned-PersianQuAD_DeepseekQA_QA_Ch-3epochs
like
0
transformers
tensorboard
safetensors
xlm-roberta
question-answering
generated_from_trainer
Gholamreza/xlm-roberta-base-finetuned-pquad-squad
finetune
mit
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
xlm-roberta-base-finetuned-pquad-squad-finetuned-PersianQuAD_DeepseekQA_QA_Ch-3epochs
This model is a fine-tuned version of
Gholamreza/xlm-roberta-base-finetuned-pquad-squad
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.8536
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: 16
eval_batch_size: 16
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
0.6399
1.0
2065
0.8126
0.4576
2.0
4130
0.7699
0.3288
3.0
6195
0.8536
Framework versions
Transformers 4.57.1
Pytorch 2.8.0+cu126
Datasets 4.0.0
Tokenizers 0.22.1
