metadata
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: []
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: 2.6668
- Accuracy: 0.0708
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 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 | 2.6480 | 0.0354 |
| No log | 2.0 | 8 | 2.6528 | 0.0354 |
| 2.6393 | 3.0 | 12 | 2.6578 | 0.0442 |
| 2.6393 | 4.0 | 16 | 2.6518 | 0.0531 |
| 2.6261 | 5.0 | 20 | 2.6490 | 0.0708 |
| 2.6261 | 6.0 | 24 | 2.6534 | 0.0354 |
| 2.6261 | 7.0 | 28 | 2.6562 | 0.0708 |
| 2.6252 | 8.0 | 32 | 2.6635 | 0.0796 |
| 2.6252 | 9.0 | 36 | 2.6670 | 0.0708 |
| 2.6144 | 10.0 | 40 | 2.6668 | 0.0708 |
Framework versions
- Transformers 4.57.3
- Pytorch 2.9.1+cu128
- Datasets 4.4.1
- Tokenizers 0.22.1