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---
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: wav2vec2-base-finetuned-iemocap-fin2
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-iemocap-fin2
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: 1.1912
- Accuracy: 0.5597
- F1: 0.5453
## 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 15
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 1.2603 | 1.0 | 102 | 1.2581 | 0.4617 | 0.4105 |
| 1.1338 | 2.0 | 204 | 1.1471 | 0.4801 | 0.4369 |
| 1.0899 | 3.0 | 306 | 1.1386 | 0.4782 | 0.4459 |
| 1.0501 | 4.0 | 408 | 1.0894 | 0.5218 | 0.5096 |
| 0.9892 | 5.0 | 510 | 1.0778 | 0.5422 | 0.5339 |
| 0.8943 | 6.0 | 612 | 1.1394 | 0.5141 | 0.4730 |
| 0.9112 | 7.0 | 714 | 1.0634 | 0.5529 | 0.5379 |
| 0.8688 | 8.0 | 816 | 1.0726 | 0.5664 | 0.5576 |
| 0.8807 | 9.0 | 918 | 1.2264 | 0.5209 | 0.4822 |
| 0.8027 | 10.0 | 1020 | 1.0469 | 0.5839 | 0.5843 |
| 0.7069 | 11.0 | 1122 | 1.1171 | 0.5587 | 0.5398 |
| 0.6508 | 12.0 | 1224 | 1.1889 | 0.5480 | 0.5292 |
| 0.6406 | 13.0 | 1326 | 1.1800 | 0.5664 | 0.5501 |
| 0.6072 | 14.0 | 1428 | 1.1841 | 0.5558 | 0.5413 |
| 0.6277 | 15.0 | 1530 | 1.1912 | 0.5597 | 0.5453 |
### Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.0
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