Skip to content
ModelListedExternal
Download

My Awesome Mind Model

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: 2.6560 Accuracy: 0.0531

Sourcehuggingface.co/carlosdonado/my_awesome_mind_model/tree/69b1bad799cb5efd6895d363ef3b22dbb36cf22c
KindOtherBase modelfacebook/wav2vec2-baseVersionRevision 69b1badCgrade

Model source

Kind
Other
File size
361 MB
Base model
facebook/wav2vec2-base
Version
vRevision 69b1bad
Updated
Sep 22, 2026
Downloads
6
Source
Hugging Face

Source description

my_awesome_mind_model

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: 2.6560
  • 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: 3e-05
  • train_batch_size: 32
  • eval_batch_size: 32
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 128
  • 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_steps: 0.1
  • num_epochs: 10

Training results

Training LossEpochStepValidation LossAccuracy
No log1.042.63630.0531
No log2.082.63840.0708
10.01533.0122.63830.0619
10.01534.0162.64350.0619
9.70505.0202.65180.0265
9.70506.0242.65750.0354
9.70507.0282.66010.0531
9.93208.0322.65750.0442
9.93209.0362.65740.0442
9.667010.0402.65600.0531

Framework versions

  • Transformers 5.0.0
  • Pytorch 2.10.0+cu128
  • Datasets 4.0.0
  • Tokenizers 0.22.2

Sources

1 source
Hugging FacePrimaryVersion 69b1bad799cb5efd6895d363ef3b22dbb36cf22c
huggingface.co/carlosdonado/my_awesome_mind_model/tree/69b1bad799cb5efd6895d363ef3b22dbb36cf22c

Verified Sep 6

Model artifacts

1 artifact

model.safetensors

safetensors · 361 MB · SHA-256 5839d2d3b01c…1c64 · Hugging Face

Download file

Source excerpts

2 excerpts
ReadmeSep 6huggingface.co/carlosdonado/my_awesome_mind_model

--- library_name: transformers license: apache-2.0 base_model: facebook/wav2vec2-base tags: - generated_from_trainer metrics: - accuracy model-index: - name: my_awesome_mind_model 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. --> # my_awesome_mind_model 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: 2.6560 - 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: 3e-05 - train_batch_size: 32 - eval_batch_size: 32 - seed: 42 - gradient_accumulation_steps: 4 - total_train_batch_size: 128 - 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_steps: 0.1 - num_epochs: 10 ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | |:-------------:|:-----:|:----:|:---------------:|:--------:| | No log | 1.0 | 4 | 2.6363 | 0.0531 | | No log | 2.0 | 8 | 2.6384 | 0.0708 | | 10.0153 | 3.0 | 12 | 2.6383 | 0.0619 | | 10.0153 | 4.0 | 16 | 2.6435 | 0.0619 | | 9.7050 | 5.0 | 20 | 2.6518 | 0.0265 | | 9.7050 | 6.0 | 24 | 2.6575 | 0.0354 | | 9.7050 | 7.0 | 28 | 2.6601 | 0.0531 | | 9.9320 | 8.0 | 32 | 2.6575 | 0.0442 | | 9.9320 | 9.0 | 36 | 2.6574 | 0.0442 | | 9.6670 | 10.0 | 40 | 2.6560 | 0.0531 | ### Framework versions - Transformers 5.0.0 - Pytorch 2.10.0+cu128 - Datasets 4.0.0 - Tokenizers 0.22.2

NoteSep 6huggingface.co/carlosdonado/my_awesome_mind_model

Source context: 6 downloads · 0 likes · Pipeline audio-classification · Library transformers · Repo carlosdonado/my_awesome_mind_model