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minoosh/
iewav2vec2-finetuned-on-shEMO_speech

Name: iewav2vec2-finetuned-on-shEMO_speech
Availability: InStock

generated_from_trainer

minoosh/wav2vec2-base-finetuned-ie

finetune

apache-2.0

endpoints_compatible

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iewav2vec2-finetuned-on-shEMO_speech

This model is a fine-tuned version of minoosh/wav2vec2-base-finetuned-ie on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.8165
Accuracy: 0.82

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: 3e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 15

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.0124	1.0	75	0.9200	0.7033
0.7081	2.0	150	0.6291	0.8167
0.5352	3.0	225	0.5825	0.83
0.3974	4.0	300	0.6690	0.8
0.2653	5.0	375	0.5241	0.8567
0.1613	6.0	450	0.5175	0.86
0.1707	7.0	525	0.6105	0.85
0.1788	8.0	600	0.6798	0.8433
0.1055	9.0	675	0.6840	0.85
0.107	10.0	750	0.6162	0.87
0.0429	11.0	825	0.6344	0.8733
0.0358	12.0	900	0.7944	0.85
0.028	13.0	975	0.7262	0.8667
0.0106	14.0	1050	0.6811	0.87
0.0118	15.0	1125	0.7056	0.8667

Framework versions

Transformers 4.34.1
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1

minoosh/iewav2vec2-finetuned-on-shEMO_speech

iewav2vec2-finetuned-on-shEMO_speech

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

minoosh/
iewav2vec2-finetuned-on-shEMO_speech