---
license: apache-2.0
base_model: jonatasgrosman/wav2vec2-large-xlsr-53-english
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: super_emo_peepo
  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. -->

# super_emo_peepo

This model is a fine-tuned version of [jonatasgrosman/wav2vec2-large-xlsr-53-english](https://huggingface.co/jonatasgrosman/wav2vec2-large-xlsr-53-english) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9463
- Accuracy: 0.6961

## 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: 0.0001
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 141  | 1.4385          | 0.4360   |
| No log        | 2.0   | 283  | 0.9948          | 0.6135   |
| No log        | 3.0   | 424  | 0.9157          | 0.6356   |
| 1.1888        | 4.0   | 566  | 0.8856          | 0.6634   |
| 1.1888        | 5.0   | 707  | 0.8592          | 0.6895   |
| 1.1888        | 6.0   | 849  | 0.8909          | 0.6789   |
| 1.1888        | 7.0   | 990  | 0.8880          | 0.6864   |
| 0.7076        | 8.0   | 1132 | 0.8914          | 0.6970   |
| 0.7076        | 9.0   | 1273 | 0.9377          | 0.6860   |
| 0.7076        | 9.96  | 1410 | 0.9463          | 0.6961   |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.16.0
- Tokenizers 0.15.2