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Cv Age Multi 3epoch

This model is a fine-tuned version of facebook/wav2vec2-base on an unknown dataset. It achieves the following results on the evaluation set: Loss: 1.2474 Accuracy: 0.5703

Sourcehuggingface.co/minato-ryan/cv-age-multi-3epoch/tree/e9dcb2ead2cfa9ab15249c2d988f5089400ce329
KindOtherBase modelfacebook/wav2vec2-baseVersionRevision e9dcb2e

Model source

Kind
Other
File size
180 MB
Base model
facebook/wav2vec2-base
Version
vRevision e9dcb2e
Updated
Sep 19, 2026
Downloads
22
Source
Hugging Face

Source description

cv-age-multi-3epoch

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

  • Loss: 1.2474
  • Accuracy: 0.5703

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: 256
  • eval_batch_size: 256
  • seed: 42
  • optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.05
  • num_epochs: 3

Training results

Training LossEpochStepValidation LossAccuracy
1.7910.1214501.70970.4492
1.45120.24271001.47150.4492
1.40280.36411501.43980.4541
1.43280.48542001.37810.5
1.33710.60682501.35010.5225
1.28480.72823001.33890.5117
1.30630.84953501.31970.5381
1.30370.97094001.30000.5332
1.25771.09224501.28720.5547
1.28521.21365001.27350.5684
1.24911.33505501.27030.5635
1.26811.45636001.27250.5527
1.25111.57776501.26160.5605
1.25181.69907001.26450.5586
1.23321.82047501.25170.5732
1.19771.94178001.24980.5674
1.2732.06318501.25430.5605
1.23162.18459001.25100.5703
1.23162.30589501.25590.5635
1.21872.427210001.24770.5732
1.23672.548510501.24730.5713
1.22462.669911001.24460.5732
1.23132.791311501.24810.5703
1.19412.912612001.24740.5703

Framework versions

  • Transformers 4.57.3
  • Pytorch 2.9.0+cu126
  • Datasets 4.4.2
  • Tokenizers 0.22.1

Sources

1 source
Hugging FacePrimaryVersion e9dcb2ead2cfa9ab15249c2d988f5089400ce329
huggingface.co/minato-ryan/cv-age-multi-3epoch/tree/e9dcb2ead2cfa9ab15249c2d988f5089400ce329

Verified Sep 19

Model artifacts

1 artifact

model.safetensors

safetensors · 180 MB · SHA-256 3a07cb598de1…4754 · Hugging Face

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Source excerpts

2 excerpts
ReadmeSep 19huggingface.co/minato-ryan/cv-age-multi-3epoch

--- library_name: transformers license: apache-2.0 base_model: facebook/wav2vec2-base tags: - generated_from_trainer metrics: - accuracy model-index: - name: cv-age-multi-3epoch results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> # cv-age-multi-3epoch This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 1.2474 - Accuracy: 0.5703 ## 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: 256 - eval_batch_size: 256 - seed: 42 - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments - lr_scheduler_type: linear - lr_scheduler_warmup_ratio: 0.05 - num_epochs: 3 ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | |:-------------:|:------:|:----:|:---------------:|:--------:| | 1.791 | 0.1214 | 50 | 1.7097 | 0.4492 | | 1.4512 | 0.2427 | 100 | 1.4715 | 0.4492 | | 1.4028 | 0.3641 | 150 | 1.4398 | 0.4541 | | 1.4328 | 0.4854 | 200 | 1.3781 | 0.5 | | 1.3371 | 0.6068 | 250 | 1.3501 | 0.5225 | | 1.2848 | 0.7282 | 300 | 1.3389 | 0.5117 | | 1.3063 | 0.8495 | 350 | 1.3197 | 0.5381 | | 1.3037 | 0.9709 | 400 | 1.3000 | 0.5332 | | 1.2577 | 1.0922 | 450 | 1.2872 | 0.5547 | | 1.2852 | 1.2136 | 500 | 1.2735 | 0.5684 | | 1.2491 | 1.3350 | 550 | 1.2703 | 0.5635 | | 1.2681 | 1.4563 | 600 | 1.2725 | 0.5527 | | 1.2511 | 1.5777 | 650 | 1.2616 | 0.5605 | | 1.2518 | 1.6990 | 700 | 1.2645 | 0.5586 | | 1.2332 | 1.8204 | 750 | 1.2517 | 0.5732 | | 1.1977 | 1.9417 | 800 | 1.2498 | 0.5674 | | 1.273 | 2.0631 | 850 | 1.2543 | 0.5605 | | 1.2316 | 2.1845 | 900 | 1.2510 | 0.5703 | | 1.2316 | 2.3058 | 950 | 1.2559 | 0.5635 | | 1.2187 | 2.4272 | 1000 | 1.2477 | 0.5732 | | 1.2367 | 2.5485 | 1050 | 1.2473 | 0.5713 | | 1.2246 | 2.6699 | 1100 | 1.2446 | 0.5732 | | 1.2313 | 2.7913 | 1150 | 1.2481 | 0.5703 | | 1.1941 | 2.9126 | 1200 | 1.247...

NoteSep 19huggingface.co/minato-ryan/cv-age-multi-3epoch

Source context: 22 downloads · 0 likes · Pipeline audio-classification · Library transformers · Repo minato-ryan/cv-age-multi-3epoch