wav2vec2-Irish-common-voice-Fleurs-living-audio-300m

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the GOOGLE/FLEURS - GA-IE, Common Voice Irish (Validated - (minus) Test) and Living audio Irish Speech dataset. It achieves the following results on the evaluation set:

• Loss: 0.3361
• Wer: 0.1963

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: 3
• total_train_batch_size: 24
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• num_epochs: 18.0
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
No log	0.56	200	2.8832	1.0
No log	1.11	400	1.1705	0.7788
3.3987	1.67	600	0.7739	0.5895
3.3987	2.23	800	0.6045	0.4902
0.8313	2.78	1000	0.5235	0.4394
0.8313	3.34	1200	0.4824	0.4002
0.8313	3.9	1400	0.4378	0.3754
0.5342	4.46	1600	0.4433	0.3634
0.5342	5.01	1800	0.4103	0.3485
0.3792	5.57	2000	0.3816	0.3310
0.3792	6.13	2200	0.3953	0.3225
0.3792	6.68	2400	0.3995	0.3132
0.2924	7.24	2600	0.3907	0.2930
0.2924	7.8	2800	0.3517	0.2740
0.2217	8.36	3000	0.3361	0.2591
0.2217	8.91	3200	0.3340	0.2451
0.2217	9.47	3400	0.3126	0.2448
0.1714	10.03	3600	0.3441	0.2556
0.1714	10.58	3800	0.3404	0.2521
0.1395	11.14	4000	0.3728	0.2518
0.1395	11.7	4200	0.3829	0.2396
0.1395	12.26	4400	0.3466	0.2361
0.1069	12.81	4600	0.3188	0.2241
0.1069	13.37	4800	0.3396	0.2197
0.0845	13.93	5000	0.3365	0.2206
0.0845	14.48	5200	0.3459	0.2209
0.0845	15.04	5400	0.3429	0.2194
0.0675	15.6	5600	0.3434	0.2182
0.0675	16.16	5800	0.3434	0.2083
0.0561	16.71	6000	0.3375	0.2036
0.0561	17.27	6200	0.3446	0.1987
0.0561	17.83	6400	0.3362	0.1978

Framework versions

• Transformers 4.24.0
• Pytorch 1.13.0+cu117
• Datasets 2.7.1
• Tokenizers 0.13.2