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---
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- audio-classification
- generated_from_trainer
datasets:
- superb
metrics:
- accuracy
model-index:
- name: superb_si_42
results:
- task:
name: Audio Classification
type: audio-classification
dataset:
name: superb
type: superb
config: si
split: validation
args: si
metrics:
- name: Accuracy
type: accuracy
value: 0.4074449594438007
---
<!-- 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. -->
# superb_si_42
This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the superb dataset.
It achieves the following results on the evaluation set:
- Loss: 2.7118
- Accuracy: 0.4074
## 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: 32
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 6.1211 | 1.0 | 4324 | 6.5318 | 0.0051 |
| 5.2457 | 2.0 | 8648 | 5.4292 | 0.0377 |
| 4.4561 | 3.0 | 12972 | 4.7088 | 0.0915 |
| 3.7443 | 4.0 | 17296 | 4.1600 | 0.1596 |
| 3.3365 | 5.0 | 21620 | 3.8532 | 0.2071 |
| 3.0029 | 6.0 | 25944 | 3.3281 | 0.2820 |
| 2.6762 | 7.0 | 30268 | 3.0052 | 0.3423 |
| 2.4949 | 8.0 | 34592 | 2.9020 | 0.3718 |
| 2.3192 | 9.0 | 38916 | 2.7638 | 0.3953 |
| 2.2312 | 10.0 | 43240 | 2.7118 | 0.4074 |
### Framework versions
- Transformers 4.40.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
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