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roberta-base-bne-finetuned-recores-long

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roberta-base-bne-finetuned-recores-long

This model is a fine-tuned version of PlanTL-GOB-ES/roberta-base-bne on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 2.2599
Accuracy: 0.4525

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: 1e-05
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
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.5728	1.0	653	1.4938	0.3846
0.9036	2.0	1306	1.9815	0.4615
0.4161	3.0	1959	2.2599	0.4525

Framework versions

Transformers 4.18.0
Pytorch 1.10.1+cu102
Datasets 2.2.1
Tokenizers 0.12.1

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Evaluation results

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