wav2GPT2MusiNewStricD3E20 – AI Model by nacielo | AlphaNeural AI

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nacielo/
wav2GPT2MusiNewStricD3E20

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speech-encoder-decoder

automatic-speech-recognition

generated_from_trainer

endpoints_compatible

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wav2GPT2MusiNewStricD3E20

This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.1798
Rouge1: 42.718
Rouge2: 15.0335
Rougel: 31.8817
Rougelsum: 31.9212
Gen Len: 43.0

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: 5e-05
train_batch_size: 2
eval_batch_size: 2
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
2.5878	1.0	1965	2.1959	41.9136	15.4521	29.7881	29.7614	31.0
2.3482	2.0	3930	1.9855	40.4721	16.569	31.6934	31.7144	38.0
2.1654	3.0	5895	1.8376	41.8598	14.9311	30.3721	30.3997	34.0
2.0384	4.0	7860	1.6717	42.5698	14.1943	31.615	31.654	33.0
1.8891	5.0	9825	1.5404	39.8572	14.4559	30.1631	30.1786	41.0
1.7814	6.0	11790	1.4242	35.0971	11.2726	28.6884	28.6569	27.0
1.6694	7.0	13755	1.3285	44.2173	15.6466	31.3753	31.3925	36.0
1.5879	8.0	15720	1.2541	43.807	14.9798	31.8325	31.8513	43.0
1.5305	9.0	17685	1.2066	42.3866	14.1488	32.1651	32.2115	39.0
1.4758	10.0	19650	1.1798	42.718	15.0335	31.8817	31.9212	43.0

Framework versions

Transformers 4.31.0
Pytorch 2.0.1+cu117
Datasets 2.14.2
Tokenizers 0.13.3