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rap_phase2_MODEL2_14march_08i – AI Model by prajwalJumde | AlphaNeural AI
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rap_phase2_MODEL2_14march_08i
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transformers
safetensors
xlm-roberta
question-answering
generated_from_trainer
FacebookAI/xlm-roberta-base
finetune
mit
endpoints_compatible
us
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rap_phase2_MODEL2_14march_08i
This model is a fine-tuned version of
xlm-roberta-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0056
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: 3
eval_batch_size: 3
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 8
Training results
Training Loss
Epoch
Step
Validation Loss
0.6723
1.0
1016
0.4252
0.4089
2.0
2032
0.3294
0.203
3.0
3048
0.1063
0.0846
4.0
4064
0.2063
0.0749
5.0
5080
0.0256
0.0208
6.0
6096
0.0063
0.0021
7.0
7112
0.0135
0.0074
8.0
8128
0.0056
Framework versions
Transformers 4.38.2
Pytorch 2.1.1+cu118
Datasets 2.16.1
Tokenizers 0.15.0
