humor_model_v4 – AI Model by rishiA | AlphaNeural AI

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rishiA/
humor_model_v4

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audio-classification

generated_from_trainer

facebook/hubert-large-ls960-ft

endpoints_compatible

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humor_model_v4

This model is a fine-tuned version of facebook/hubert-large-ls960-ft on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.6057
Accuracy: 0.8675

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: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	0.9524	5	0.6819	0.8735
0.6691	1.9048	10	0.6710	0.8735
0.6691	2.8571	15	0.6686	0.8735
0.6307	4.0	21	0.6559	0.8735
0.6307	4.9524	26	0.6401	0.8735
0.6172	5.9048	31	0.6264	0.8735
0.6172	6.8571	36	0.6148	0.8675
0.6053	8.0	42	0.6084	0.8675
0.6053	8.9524	47	0.6063	0.8614
0.5968	9.5238	50	0.6057	0.8675

Framework versions

Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1