---
library_name: transformers
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: dfmodel
  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. -->

# dfmodel

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: 0.0061
- Accuracy: 0.9984

## 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: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1.0

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 0.5468        | 0.0126 | 10   | 0.3332          | 0.9004   |
| 0.2523        | 0.0252 | 20   | 0.6204          | 0.8444   |
| 0.2843        | 0.0378 | 30   | 0.1581          | 0.9570   |
| 0.0499        | 0.0503 | 40   | 0.0812          | 0.9822   |
| 0.0571        | 0.0629 | 50   | 0.0928          | 0.9806   |
| 0.099         | 0.0755 | 60   | 0.0443          | 0.9923   |
| 0.0417        | 0.0881 | 70   | 0.0464          | 0.9893   |
| 0.0499        | 0.1007 | 80   | 0.3664          | 0.9331   |
| 0.131         | 0.1133 | 90   | 0.1152          | 0.9728   |
| 0.0675        | 0.1259 | 100  | 0.0706          | 0.9852   |
| 0.0234        | 0.1385 | 110  | 0.0436          | 0.9926   |
| 0.0237        | 0.1510 | 120  | 0.0701          | 0.9885   |
| 0.0221        | 0.1636 | 130  | 0.0958          | 0.9835   |
| 0.0296        | 0.1762 | 140  | 0.0269          | 0.9950   |
| 0.0224        | 0.1888 | 150  | 0.0791          | 0.9866   |
| 0.1075        | 0.2014 | 160  | 0.0421          | 0.9888   |
| 0.05          | 0.2140 | 170  | 0.0361          | 0.9918   |
| 0.0097        | 0.2266 | 180  | 0.0372          | 0.9931   |
| 0.0394        | 0.2392 | 190  | 0.0415          | 0.9920   |
| 0.0678        | 0.2517 | 200  | 0.0396          | 0.9912   |
| 0.0689        | 0.2643 | 210  | 0.0196          | 0.9965   |
| 0.0291        | 0.2769 | 220  | 0.0416          | 0.9923   |
| 0.0527        | 0.2895 | 230  | 0.0297          | 0.9947   |
| 0.0552        | 0.3021 | 240  | 0.0191          | 0.9964   |
| 0.0678        | 0.3147 | 250  | 0.0202          | 0.9967   |
| 0.0252        | 0.3273 | 260  | 0.0253          | 0.9945   |
| 0.077         | 0.3398 | 270  | 0.0221          | 0.9961   |
| 0.0202        | 0.3524 | 280  | 0.0306          | 0.9942   |
| 0.0559        | 0.3650 | 290  | 0.0178          | 0.9969   |
| 0.018         | 0.3776 | 300  | 0.0186          | 0.9964   |
| 0.0157        | 0.3902 | 310  | 0.0175          | 0.9962   |
| 0.0144        | 0.4028 | 320  | 0.0201          | 0.9959   |
| 0.0274        | 0.4154 | 330  | 0.0276          | 0.9937   |
| 0.0226        | 0.4280 | 340  | 0.0222          | 0.9958   |
| 0.0022        | 0.4405 | 350  | 0.0199          | 0.9962   |
| 0.0043        | 0.4531 | 360  | 0.0494          | 0.9912   |
| 0.0306        | 0.4657 | 370  | 0.0198          | 0.9959   |
| 0.0177        | 0.4783 | 380  | 0.0179          | 0.9964   |
| 0.0014        | 0.4909 | 390  | 0.0242          | 0.9959   |
| 0.0012        | 0.5035 | 400  | 0.0259          | 0.9959   |
| 0.0136        | 0.5161 | 410  | 0.0286          | 0.9956   |
| 0.0562        | 0.5287 | 420  | 0.0214          | 0.9962   |
| 0.0019        | 0.5412 | 430  | 0.0225          | 0.9958   |
| 0.0028        | 0.5538 | 440  | 0.0190          | 0.9964   |
| 0.0124        | 0.5664 | 450  | 0.0197          | 0.9965   |
| 0.0243        | 0.5790 | 460  | 0.0152          | 0.9972   |
| 0.0156        | 0.5916 | 470  | 0.0196          | 0.9951   |
| 0.0189        | 0.6042 | 480  | 0.0150          | 0.9964   |
| 0.0205        | 0.6168 | 490  | 0.0181          | 0.9956   |
| 0.0249        | 0.6294 | 500  | 0.0142          | 0.9961   |
| 0.0253        | 0.6419 | 510  | 0.0099          | 0.9975   |
| 0.0034        | 0.6545 | 520  | 0.0198          | 0.9959   |
| 0.0111        | 0.6671 | 530  | 0.0363          | 0.9935   |
| 0.0214        | 0.6797 | 540  | 0.0142          | 0.9964   |
| 0.0015        | 0.6923 | 550  | 0.0107          | 0.9975   |
| 0.0075        | 0.7049 | 560  | 0.0117          | 0.9972   |
| 0.0088        | 0.7175 | 570  | 0.0077          | 0.9981   |
| 0.015         | 0.7300 | 580  | 0.0094          | 0.9980   |
| 0.0141        | 0.7426 | 590  | 0.0076          | 0.9983   |
| 0.0097        | 0.7552 | 600  | 0.0084          | 0.9980   |
| 0.0132        | 0.7678 | 610  | 0.0072          | 0.9981   |
| 0.0009        | 0.7804 | 620  | 0.0096          | 0.9980   |
| 0.0003        | 0.7930 | 630  | 0.0122          | 0.9978   |
| 0.0003        | 0.8056 | 640  | 0.0131          | 0.9976   |
| 0.0267        | 0.8182 | 650  | 0.0112          | 0.9978   |
| 0.0006        | 0.8307 | 660  | 0.0120          | 0.9975   |
| 0.0207        | 0.8433 | 670  | 0.0075          | 0.9981   |
| 0.0183        | 0.8559 | 680  | 0.0051          | 0.9984   |
| 0.002         | 0.8685 | 690  | 0.0047          | 0.9987   |
| 0.0022        | 0.8811 | 700  | 0.0050          | 0.9991   |
| 0.0184        | 0.8937 | 710  | 0.0050          | 0.9987   |
| 0.0009        | 0.9063 | 720  | 0.0047          | 0.9989   |
| 0.003         | 0.9189 | 730  | 0.0047          | 0.9989   |
| 0.0005        | 0.9314 | 740  | 0.0062          | 0.9981   |
| 0.0102        | 0.9440 | 750  | 0.0076          | 0.9980   |
| 0.0063        | 0.9566 | 760  | 0.0079          | 0.9978   |
| 0.0148        | 0.9692 | 770  | 0.0069          | 0.9981   |
| 0.0173        | 0.9818 | 780  | 0.0065          | 0.9984   |
| 0.0099        | 0.9944 | 790  | 0.0061          | 0.9984   |


### Framework versions

- Transformers 4.45.0.dev0
- Pytorch 2.1.2
- Datasets 2.21.1.dev0
- Tokenizers 0.19.1