---
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: multilingual_speech_to_intent_wav2vec
  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. -->

# multilingual_speech_to_intent_wav2vec

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: 1.5542
- Accuracy: 0.7430
- Precision: 0.8060
- Recall: 0.7430
- F1: 0.7456

## 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: 0.0003
- train_batch_size: 32
- eval_batch_size: 8
- 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: cosine
- lr_scheduler_warmup_steps: 500
- num_epochs: 100
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
| 2.3588        | 1.0   | 219  | 1.4144          | 0.5916   | 0.6385    | 0.5916 | 0.5322 |
| 0.8825        | 2.0   | 438  | 0.7289          | 0.8195   | 0.8635    | 0.8195 | 0.8243 |
| 0.7836        | 3.0   | 657  | 0.6739          | 0.8514   | 0.8648    | 0.8514 | 0.8513 |
| 0.7345        | 4.0   | 876  | 0.4483          | 0.9080   | 0.9189    | 0.9080 | 0.9071 |
| 0.7204        | 5.0   | 1095 | 0.5039          | 0.8882   | 0.9059    | 0.8882 | 0.8915 |
| 0.5355        | 6.0   | 1314 | 0.5051          | 0.8967   | 0.9049    | 0.8967 | 0.8971 |
| 0.5939        | 7.0   | 1533 | 0.3162          | 0.9314   | 0.9387    | 0.9314 | 0.9322 |
| 0.5311        | 8.0   | 1752 | 0.3218          | 0.9292   | 0.9318    | 0.9292 | 0.9292 |
| 0.5098        | 9.0   | 1971 | 0.5819          | 0.8804   | 0.8858    | 0.8804 | 0.8809 |
| 0.508         | 10.0  | 2190 | 0.5930          | 0.8804   | 0.8843    | 0.8804 | 0.8792 |
| 0.4672        | 11.0  | 2409 | 0.3127          | 0.9229   | 0.9251    | 0.9229 | 0.9222 |
| 0.4619        | 12.0  | 2628 | 0.3761          | 0.9193   | 0.9227    | 0.9193 | 0.9193 |
| 0.4668        | 13.0  | 2847 | 0.6386          | 0.8740   | 0.8800    | 0.8740 | 0.8726 |
| 0.444         | 14.0  | 3066 | 0.4134          | 0.9073   | 0.9133    | 0.9073 | 0.9079 |
| 0.4059        | 15.0  | 3285 | 0.3106          | 0.9349   | 0.9370    | 0.9349 | 0.9347 |
| 0.3857        | 16.0  | 3504 | 0.3639          | 0.9222   | 0.9296    | 0.9222 | 0.9217 |
| 0.432         | 17.0  | 3723 | 0.5168          | 0.8896   | 0.8977    | 0.8896 | 0.8885 |
| 0.3909        | 18.0  | 3942 | 1.0967          | 0.8004   | 0.8269    | 0.8004 | 0.8022 |
| 0.4341        | 19.0  | 4161 | 0.7655          | 0.8556   | 0.8624    | 0.8556 | 0.8554 |
| 0.3673        | 20.0  | 4380 | 0.2394          | 0.9505   | 0.9525    | 0.9505 | 0.9505 |
| 0.3784        | 21.0  | 4599 | 0.4200          | 0.9207   | 0.9228    | 0.9207 | 0.9202 |
| 0.4064        | 22.0  | 4818 | 0.5932          | 0.8818   | 0.8876    | 0.8818 | 0.8820 |
| 0.3825        | 23.0  | 5037 | 0.9998          | 0.8493   | 0.8616    | 0.8493 | 0.8484 |
| 0.3485        | 24.0  | 5256 | 1.1882          | 0.7877   | 0.8071    | 0.7877 | 0.7888 |
| 0.3242        | 25.0  | 5475 | 0.5562          | 0.9073   | 0.9118    | 0.9073 | 0.9076 |
| 0.3526        | 26.0  | 5694 | 0.6743          | 0.8832   | 0.8927    | 0.8832 | 0.8825 |
| 0.3573        | 27.0  | 5913 | 0.3483          | 0.9271   | 0.9313    | 0.9271 | 0.9272 |
| 0.3381        | 28.0  | 6132 | 1.1346          | 0.8018   | 0.8152    | 0.8018 | 0.8017 |
| 0.3243        | 29.0  | 6351 | 0.9003          | 0.8316   | 0.8439    | 0.8316 | 0.8315 |
| 0.3045        | 30.0  | 6570 | 0.9181          | 0.8493   | 0.8570    | 0.8493 | 0.8482 |


### Framework versions

- Transformers 4.43.3
- Pytorch 2.1.0+cu118
- Datasets 2.20.0
- Tokenizers 0.19.1