output – AI Model by salmaouardi120 | AlphaNeural AI

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output

This model is a fine-tuned version of facebook/wav2vec2-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 4.1041
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: 0.1
train_batch_size: 4
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 10
num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
9.9461	0.13	10	15.0608	1.0
14.0423	0.26	20	6.7504	1.0
8.3772	0.39	30	11.9379	0.9994
14.5978	0.52	40	11.9946	1.0
14.3409	0.65	50	27.0088	1.0
13.6096	0.78	60	11.5932	1.0
11.9665	0.91	70	11.2733	1.0
11.4185	1.04	80	11.3424	1.0
8.8849	1.17	90	9.9160	1.0
7.4571	1.3	100	8.4745	1.0
5.098	1.43	110	5.9112	1.0
4.3967	1.56	120	4.2660	1.0
4.4123	1.69	130	4.3839	1.0
4.1123	1.82	140	4.1882	1.0
3.8196	1.95	150	4.2341	1.0
3.9248	2.08	160	4.2814	1.0
3.7829	2.21	170	4.3074	1.0
3.8432	2.34	180	4.1633	1.0
3.7821	2.47	190	4.1557	1.0
3.8287	2.6	200	4.3340	1.0
3.7915	2.73	210	4.2436	1.0
3.7911	2.86	220	4.3358	1.0
3.8335	2.99	230	4.1469	1.0
3.7663	3.12	240	4.1145	1.0
3.7516	3.25	250	4.0924	1.0
3.7326	3.38	260	4.1800	1.0
3.7447	3.51	270	4.1080	1.0
3.7293	3.64	280	4.1557	1.0
3.7541	3.77	290	4.1289	1.0
3.7222	3.9	300	4.1041	1.0

Framework versions

Transformers 4.24.0
Pytorch 1.13.0+cu116
Datasets 2.7.1
Tokenizers 0.13.2