metadata

tags:
  - automatic-speech-recognition
  - timit_asr
  - generated_from_trainer
datasets:
  - timit_asr
model-index:
  - name: wav2vec2-random
    results: []

wav2vec2-random

This model is a fine-tuned version of patrickvonplaten/wav2vec2-base-random on the TIMIT_ASR - NA dataset. It achieves the following results on the evaluation set:

Loss: 3.1593
Wer: 0.8364

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: 0.0001
train_batch_size: 32
eval_batch_size: 1
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 1000
num_epochs: 20.0
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
2.9043	0.69	100	2.9683	1.0
2.8537	1.38	200	2.9281	0.9997
2.7803	2.07	300	2.7330	0.9999
2.6806	2.76	400	2.5792	1.0
2.4136	3.45	500	2.4327	0.9948
2.1682	4.14	600	2.3508	0.9877
2.2577	4.83	700	2.2176	0.9773
2.355	5.52	800	2.1753	0.9542
1.8588	6.21	900	2.0650	0.8851
1.6831	6.9	1000	2.0109	0.8618
1.888	7.59	1100	1.9660	0.8418
2.0066	8.28	1200	1.9847	0.8531
1.7044	8.97	1300	1.9760	0.8527
1.3168	9.66	1400	2.0708	0.8327
1.2143	10.34	1500	2.0601	0.8419
1.6189	11.03	1600	2.0960	0.8299
1.13	11.72	1700	2.2540	0.8408
0.8001	12.41	1800	2.4260	0.8306
0.7769	13.1	1900	2.4182	0.8445
1.2165	13.79	2000	2.3666	0.8284
0.8026	14.48	2100	2.7118	0.8662
0.5148	15.17	2200	2.7957	0.8526
0.4921	15.86	2300	2.8244	0.8346
0.7629	16.55	2400	2.8944	0.8370
0.5762	17.24	2500	3.0335	0.8367
0.4076	17.93	2600	3.0776	0.8358
0.3395	18.62	2700	3.1572	0.8261
0.4862	19.31	2800	3.1319	0.8414
0.5061	20.0	2900	3.1593	0.8364

Framework versions

Transformers 4.12.0.dev0
Pytorch 1.8.1
Datasets 1.14.1.dev0
Tokenizers 0.10.3