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---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: ser_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. -->
# ser_model
This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4615
- Accuracy: 0.8471
## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.0541 | 1.0 | 162 | 0.9782 | 0.6650 |
| 0.7858 | 2.0 | 324 | 0.6777 | 0.7624 |
| 0.5927 | 3.0 | 486 | 0.5659 | 0.8028 |
| 0.4803 | 4.0 | 648 | 0.5004 | 0.8186 |
| 0.3951 | 5.0 | 810 | 0.4971 | 0.8175 |
| 0.3656 | 6.0 | 972 | 0.4670 | 0.8310 |
| 0.286 | 7.0 | 1134 | 0.4965 | 0.8306 |
| 0.2879 | 8.0 | 1296 | 0.4620 | 0.8421 |
| 0.2417 | 9.0 | 1458 | 0.4554 | 0.8460 |
| 0.2182 | 10.0 | 1620 | 0.4615 | 0.8471 |
### Framework versions
- Transformers 4.25.1
- Pytorch 1.12.1
- Datasets 2.7.1
- Tokenizers 0.13.2
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