You can deploy this model and start earning money today!

KasuleTrevor/
Runynkore_speech_to_intent_multilingual_xlsr

Name: Runynkore_speech_to_intent_multilingual_xlsr
Availability: InStock

Views

No views yet

Runynkore_speech_to_intent_multilingual_xlsr

This model is a fine-tuned version of KasuleTrevor/wav2vec2-xls-r-300m-multilingual_filtered-yogera-v3 on an unknown 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: 0.0001
train_batch_size: 32
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 64
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 500
num_epochs: 20
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
No log	1.0	88	2.8125	0.1405	0.1094	0.1405	0.0721
2.9239	2.0	176	1.2254	0.7149	0.6086	0.7149	0.6258
1.8873	3.0	264	0.1759	0.9796	0.9810	0.9796	0.9798
0.3484	4.0	352	0.1055	0.9796	0.9807	0.9796	0.9797
0.1375	5.0	440	0.1020	0.9796	0.9807	0.9796	0.9797
0.1062	6.0	528	0.0892	0.9817	0.9828	0.9817	0.9817
0.0891	7.0	616	0.0808	0.9837	0.9843	0.9837	0.9837
0.0687	8.0	704	0.0671	0.9817	0.9830	0.9817	0.9816
0.0687	9.0	792	0.0760	0.9796	0.9802	0.9796	0.9796
0.0501	10.0	880	0.0818	0.9817	0.9826	0.9817	0.9817
0.0411	11.0	968	0.0820	0.9857	0.9865	0.9857	0.9858
0.0259	12.0	1056	0.0812	0.9796	0.9800	0.9796	0.9796
0.032	13.0	1144	0.0794	0.9817	0.9822	0.9817	0.9817
0.0266	14.0	1232	0.0976	0.9817	0.9826	0.9817	0.9817
0.0211	15.0	1320	0.1037	0.9796	0.9806	0.9796	0.9797
0.0178	16.0	1408	0.0949	0.9796	0.9802	0.9796	0.9797
0.0178	17.0	1496	0.0901	0.9817	0.9827	0.9817	0.9817
0.0164	18.0	1584	0.0936	0.9817	0.9825	0.9817	0.9817
0.017	19.0	1672	0.0939	0.9817	0.9827	0.9817	0.9817
0.0147	20.0	1760	0.0940	0.9817	0.9827	0.9817	0.9817