metadata

license: apache-2.0
tags:
  - generated_from_trainer
metrics:
  - wer
model-index:
  - name: seq-xls-r-fleurs_nl-run2-asr_af-run5
    results: []
datasets:
  - lucas-meyer/asr_af

seq-xls-r-fleurs_nl-run2-asr_af-run5

This model is a fine-tuned version of lucas-meyer/xls-r-fleurs_nl-run2 on the asr_af dataset. It achieves the following results:

Wer (Validation): 37.23%
Wer (Test): 37.78%

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: 16
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)
11.2739	0.29	50	5.2927	1.0
3.8398	0.59	100	3.3122	1.0
3.1152	0.88	150	3.0188	1.0
2.9857	1.17	200	2.9748	0.9998
2.8793	1.47	250	2.7253	1.0
2.0828	1.76	300	1.5219	0.9291
1.1713	2.05	350	0.8089	0.6017
0.74	2.35	400	0.6447	0.5613
0.6223	2.64	450	0.5806	0.4899
0.5661	2.93	500	0.5890	0.4928
0.4624	3.23	550	0.5796	0.4767
0.4107	3.52	600	0.5077	0.4624
0.3755	3.81	650	0.4489	0.4109
0.3255	4.11	700	0.4474	0.3887
0.2728	4.4	750	0.4477	0.3958
0.2756	4.69	800	0.4477	0.3841
0.282	4.99	850	0.4243	0.3914
0.2362	5.28	900	0.4756	0.4081
0.2262	5.57	950	0.4554	0.3824
0.2315	5.87	1000	0.3963	0.3721
0.2016	6.16	1050	0.4290	0.3734
0.1772	6.45	1100	0.4419	0.3649
0.1835	6.74	1150	0.4339	0.3560

Framework versions

Transformers 4.28.0
Pytorch 2.0.1+cu117
Datasets 2.14.4
Tokenizers 0.13.3