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NLP-QAModel

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NLP-QAModel

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: 4.6959
Exact Match: 0.0
F1: 4.2322

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: 0.0001
train_batch_size: 1
eval_batch_size: 1
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.05
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Exact Match	F1
3.6227	1.0	6673	4.6959	0.0	4.2322

Framework versions

Transformers 4.36.0
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.15.0

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Safetensors

Model size

559M params

Tensor type

F32

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Base model

FacebookAI/xlm-roberta-large

Finetuned

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Evaluation results

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