---
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: sambit-workacc
  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. -->

# sambit-workacc

This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the PolyAI/minds14 dataset.
It achieves the following results on the evaluation set:
- Loss: 24.8037
- Wer: 1.0

## 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: 1e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 40
- training_steps: 200
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| No log        | 0.8   | 20   | 34.5760         | 1.0063 |
| 47.3781       | 1.6   | 40   | 24.8037         | 1.0    |
| 27.6882       | 2.4   | 60   | 8.2192          | 1.0    |
| 27.6882       | 3.2   | 80   | 4.0556          | 1.0    |
| 6.5092        | 4.0   | 100  | 3.6545          | 1.0    |
| 4.1312        | 4.8   | 120  | 3.5571          | 1.0    |
| 4.1312        | 5.6   | 140  | 3.5060          | 1.0    |
| 3.929         | 6.4   | 160  | 3.4571          | 1.0    |
| 3.8668        | 7.2   | 180  | 3.4330          | 1.0    |
| 3.8668        | 8.0   | 200  | 3.4136          | 1.0    |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.2
- Datasets 2.15.0
- Tokenizers 0.15.2