You can deploy this model and start earning money today!

Wiebke/
flausch_task1_classification_distilbert-base-german-cased_lehre

Name: flausch_task1_classification_distilbert-base-german-cased_lehre
Availability: InStock

Views

No views yet

flausch_task1_classification_distilbert-base-german-cased_lehre

This model is a fine-tuned version of distilbert/distilbert-base-german-cased on the None dataset. It achieves the following results on the evaluation set:

More information needed

More information needed

More information needed

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: 2
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Model Preparation Time	Accuracy	F1
0.2978	0.4233	750	0.2598	0.0029	0.9033	0.8995
0.2371	0.8465	1500	0.2213	0.0029	0.9232	0.9216
0.1913	1.2698	2250	0.2198	0.0029	0.9298	0.9294
0.1781	1.6930	3000	0.2184	0.0029	0.9262	0.9263
0.1781	2.0	3544	0.2186	0.0029	0.9298	0.9296