metadata

license: apache-2.0
tags:
  - generated_from_trainer
metrics:
  - wer
model-index:
  - name: xls-r-asr_xh-run5
    results: []
datasets:
  - lucas-meyer/asr_xh

xls-r-asr_xh-run5

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

Wer (Validation):
Wer (Test):

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 0.0003
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 30
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer (Train)
14.5246	0.64	50	8.0044	1.0
5.7225	1.27	100	4.2174	1.0
3.7885	1.91	150	3.2739	1.0
3.1939	2.55	200	3.0574	1.0
3.0792	3.18	250	3.0012	1.0
2.8734	3.82	300	2.4681	1.0
1.735	4.46	350	0.9881	0.9242
0.933	5.1	400	0.6460	0.7483
0.6435	5.73	450	0.6392	0.7668
0.5548	6.37	500	0.5045	0.6725
0.4812	7.01	550	0.5334	0.6667
0.3797	7.64	600	0.4583	0.6135
0.3542	8.28	650	0.4543	0.5811
0.2959	8.92	700	0.5105	0.6466
0.2686	9.55	750	0.4518	0.5948
0.22	10.19	800	0.4408	0.5870
0.2155	10.83	850	0.4228	0.5513
0.1755	11.46	900	0.4862	0.5708
0.1777	12.1	950	0.4304	0.5212
0.1627	12.74	1000	0.4358	0.5445
0.1444	13.38	1050	0.4418	0.5157
0.1364	14.01	1100	0.4711	0.5348
0.1213	14.65	1150	0.4952	0.5546

Framework versions

Transformers 4.28.0
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3