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---
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: my_awesome_emotion_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_emotion_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: 1.6526
- Accuracy: 0.4938
## 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: 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.4362 | 0.98 | 47 | 2.3331 | 0.3124 |
| 2.1636 | 1.99 | 95 | 2.0618 | 0.3707 |
| 1.9869 | 2.99 | 143 | 1.9420 | 0.3870 |
| 1.8686 | 4.0 | 191 | 1.8900 | 0.3955 |
| 1.7885 | 4.98 | 238 | 1.7958 | 0.4414 |
| 1.6869 | 5.99 | 286 | 1.7295 | 0.4650 |
| 1.6069 | 6.99 | 334 | 1.7144 | 0.4748 |
| 1.5487 | 8.0 | 382 | 1.6685 | 0.4905 |
| 1.5576 | 8.98 | 429 | 1.6590 | 0.4964 |
| 1.4776 | 9.84 | 470 | 1.6526 | 0.4938 |
### Framework versions
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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