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: 2.6906 Accuracy: 0.0265

Sourcehuggingface.co/dbdhkddlehlfskawk/my_awesome_mind_model/tree/66f6b2dec6f68818d1b126ca51314f440cf6b94e
KindOtherBase modelfacebook/wav2vec2-baseVersionRevision 66f6b2d

Model source

Kind
Other
File size
361 MB
Base model
facebook/wav2vec2-base
Version
vRevision 66f6b2d
Updated
Sep 19, 2026
Downloads
4
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: 2.6906
  • Accuracy: 0.0265

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_ratio: 0.1
  • num_epochs: 10

Training results

Training LossEpochStepValidation LossAccuracy
No log1.042.64510.0619
No log2.082.64680.0531
2.63643.0122.65210.0354
2.63644.0162.65800.0354
2.61745.0202.65140.0531
2.61746.0242.65470.0531
2.61747.0282.67800.0177
2.61188.0322.68640.0265
2.61189.0362.68960.0265
2.602310.0402.69060.0265

Framework versions

  • Transformers 4.57.3
  • Pytorch 2.9.0+cu126
  • Datasets 4.0.0
  • Tokenizers 0.22.2

Sources

1 source
Hugging FacePrimaryVersion 66f6b2dec6f68818d1b126ca51314f440cf6b94e
huggingface.co/dbdhkddlehlfskawk/my_awesome_mind_model/tree/66f6b2dec6f68818d1b126ca51314f440cf6b94e

Verified Sep 19

Model artifacts

1 artifact

model.safetensors

safetensors · 361 MB · SHA-256 f62cf687471f…eef9 · Hugging Face

Download

Source excerpts

2 excerpts
ReadmeSep 19huggingface.co/dbdhkddlehlfskawk/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: 2.6906 - Accuracy: 0.0265 ## 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_ratio: 0.1 - num_epochs: 10 ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | |:-------------:|:-----:|:----:|:---------------:|:--------:| | No log | 1.0 | 4 | 2.6451 | 0.0619 | | No log | 2.0 | 8 | 2.6468 | 0.0531 | | 2.6364 | 3.0 | 12 | 2.6521 | 0.0354 | | 2.6364 | 4.0 | 16 | 2.6580 | 0.0354 | | 2.6174 | 5.0 | 20 | 2.6514 | 0.0531 | | 2.6174 | 6.0 | 24 | 2.6547 | 0.0531 | | 2.6174 | 7.0 | 28 | 2.6780 | 0.0177 | | 2.6118 | 8.0 | 32 | 2.6864 | 0.0265 | | 2.6118 | 9.0 | 36 | 2.6896 | 0.0265 | | 2.6023 | 10.0 | 40 | 2.6906 | 0.0265 | ### Framework versions - Transformers 4.57.3 - Pytorch 2.9.0+cu126 - Datasets 4.0.0 - Tokenizers 0.22.2

NoteSep 19huggingface.co/dbdhkddlehlfskawk/my_awesome_mind_model

Source context: 4 downloads · 0 likes · Pipeline audio-classification · Library transformers · Repo dbdhkddlehlfskawk/my_awesome_mind_model