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library_name: transformers
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: Emotionwav2vec2AudioDF-V1
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. -->
# Emotionwav2vec2AudioDF-V1
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8804
- Accuracy: 0.8531
## 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: 4
- 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: 7
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Accuracy | Validation Loss |
|:-------------:|:-----:|:-----:|:--------:|:---------------:|
| 0.7157 | 1.0 | 2560 | 0.7555 | 0.7471 |
| 0.4921 | 2.0 | 5120 | 0.8141 | 0.8095 |
| 0.452 | 3.0 | 7680 | 0.8414 | 0.7095 |
| 0.4294 | 4.0 | 10240 | 0.8516 | 0.7381 |
| 0.192 | 5.0 | 12800 | 0.8555 | 0.7971 |
| 0.2864 | 6.0 | 15360 | 0.9153 | 0.8516 |
| 0.0949 | 7.0 | 17920 | 0.8804 | 0.8531 |
### Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.2.0
- Tokenizers 0.19.1
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