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knurm/
my-finetuned-xml-roberta4

Name: my-finetuned-xml-roberta4
Availability: InStock

generated_from_trainer

mit

endpoints_compatible

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my-finetuned-xml-roberta4

This model is a fine-tuned version of knurm/xlm-roberta-base-finetuned-est on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 3.7709

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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 7

Training results

Training Loss	Epoch	Step	Validation Loss
3.4629	1.0	5652	3.3367
3.1814	2.0	11304	3.2952
2.9718	3.0	16956	3.2592
2.7442	4.0	22608	3.3133
2.5991	5.0	28260	3.4292
2.4221	6.0	33912	3.5928
2.3259	7.0	39564	3.7709

Framework versions

Transformers 4.19.1
Pytorch 1.11.0+cu113
Datasets 2.2.1
Tokenizers 0.12.1

knurm/my-finetuned-xml-roberta4

my-finetuned-xml-roberta4

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

knurm/
my-finetuned-xml-roberta4