Wav2vec2 Base Finetuned Minds

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 1e-05
• train_batch_size: 4
• eval_batch_size: 4
• 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
• num_epochs: 10

Training results

Framework versions

• Transformers 4.57.3
• Pytorch 2.9.0+cu126
• Datasets 3.6.0
• Tokenizers 0.22.1

--- library_name: transformers license: apache-2.0 base_model: facebook/wav2vec2-base tags: - generated_from_trainer metrics: - accuracy model-index: - name: wav2vec2-base-finetuned-minds 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. --> # wav2vec2-base-finetuned-minds 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: 2.6976 - Accuracy: 0.0531 ## 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: 1e-05 - train_batch_size: 4 - eval_batch_size: 4 - 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 - num_epochs: 10 ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | |:-------------:|:-----:|:----:|:---------------:|:--------:| | 2.6297 | 1.0 | 113 | 2.6709 | 0.0619 | | 2.6756 | 2.0 | 226 | 2.6744 | 0.0619 | | 2.6513 | 3.0 | 339 | 2.6692 | 0.0619 | | 2.6578 | 4.0 | 452 | 2.6733 | 0.0619 | | 2.5932 | 5.0 | 565 | 2.6724 | 0.0619 | | 2.6251 | 6.0 | 678 | 2.6706 | 0.0619 | | 2.6301 | 7.0 | 791 | 2.6743 | 0.0619 | | 2.6573 | 8.0 | 904 | 2.6879 | 0.0531 | | 2.6232 | 9.0 | 1017 | 2.6935 | 0.0619 | | 2.6479 | 10.0 | 1130 | 2.6976 | 0.0531 | ### Framework versions - Transformers 4.57.3 - Pytorch 2.9.0+cu126 - Datasets 3.6.0 - Tokenizers 0.22.1