transformers safetensors wav2vec2 automatic-speech-recognition generated_from_trainer base_model:facebook/wav2vec2-base license:apache-2.0 endpoints_compatible region:us
---
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: wav2vec2-dstc2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# wav2vec2-dstc2

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: inf
- Wer: 0.3375

## 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: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 20
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 3.3005        | 1.0   | 488  | inf             | 1.0    |
| 2.1918        | 2.0   | 976  | inf             | 0.7492 |
| 1.0499        | 3.0   | 1464 | inf             | 0.4338 |
| 0.9099        | 4.0   | 1952 | inf             | 0.4005 |
| 0.6575        | 5.0   | 2440 | inf             | 0.3900 |
| 0.6008        | 6.0   | 2928 | inf             | 0.3705 |
| 0.5742        | 7.0   | 3416 | inf             | 0.3916 |
| 0.57          | 8.0   | 3904 | inf             | 0.3573 |
| 0.4874        | 9.0   | 4392 | inf             | 0.3526 |
| 0.4304        | 10.0  | 4880 | inf             | 0.3609 |
| 0.4189        | 11.0  | 5368 | inf             | 0.3558 |
| 0.4532        | 12.0  | 5856 | inf             | 0.3503 |
| 0.4088        | 13.0  | 6344 | inf             | 0.3454 |
| 0.3515        | 14.0  | 6832 | inf             | 0.3437 |
| 0.3596        | 15.0  | 7320 | inf             | 0.3411 |
| 0.3299        | 16.0  | 7808 | inf             | 0.3393 |
| 0.2859        | 17.0  | 8296 | inf             | 0.3397 |
| 0.2546        | 18.0  | 8784 | inf             | 0.3379 |
| 0.2632        | 19.0  | 9272 | inf             | 0.3369 |
| 0.282         | 20.0  | 9760 | inf             | 0.3375 |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
