xlsr-syntesized-turkish-2-hour-llr – AI Model by alikanakar | AlphaNeural AI

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alikanakar/
xlsr-syntesized-turkish-2-hour-llr

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xlsr-syntesized-turkish-2-hour-llr

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 3.1105
Wer: 1.0

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: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 200
num_epochs: 20
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
9.4081	1.04	100	8.3205	1.0
5.0295	2.08	200	4.3245	1.0
3.7196	3.12	300	3.8079	1.0
3.4558	4.17	400	3.5232	1.0
3.304	5.21	500	3.3519	1.0
3.2115	6.25	600	3.2609	1.0
3.1533	7.29	700	3.1903	1.0
3.0813	8.33	800	3.1409	1.0
3.0279	9.38	900	3.0815	1.0
2.9087	10.42	1000	3.0615	1.0
2.6893	11.46	1100	3.0408	1.0
2.4277	12.5	1200	3.0961	1.0
2.2325	13.54	1300	3.0973	1.0
2.0858	14.58	1400	3.1216	1.0
1.9604	15.62	1500	3.1271	1.0
1.8766	16.67	1600	3.1099	1.0
1.8093	17.71	1700	3.1191	1.0
1.7577	18.75	1800	3.1191	1.0
1.7174	19.79	1900	3.1105	1.0

Framework versions

Transformers 4.26.0
Pytorch 2.0.1+cu118
Datasets 2.9.0
Tokenizers 0.13.3