README.md

---
license: apache-2.0
tags:
- generated_from_trainer
base_model: facebook/wav2vec2-base-960h
metrics:
- wer
model-index:
- name: wtimit-base-960h-normal-reduced-learning-rate-all
  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. -->

# wtimit-base-960h-normal-reduced-learning-rate-all

This model is a fine-tuned version of [facebook/wav2vec2-base-960h](https://huggingface.co./facebook/wav2vec2-base-960h) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3181
- Wer: 0.2132

## 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: 8
- eval_batch_size: 8
- 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    |
|:-------------:|:-------:|:----:|:---------------:|:------:|
| 0.4297        | 2.1552  | 1000 | 0.3046          | 0.2440 |
| 0.3137        | 4.3103  | 2000 | 0.2941          | 0.2240 |
| 0.2578        | 6.4655  | 3000 | 0.2982          | 0.2176 |
| 0.2153        | 8.6207  | 4000 | 0.3063          | 0.2166 |
| 0.1998        | 10.7759 | 5000 | 0.3036          | 0.2155 |
| 0.1913        | 12.9310 | 6000 | 0.3049          | 0.2122 |
| 0.1836        | 15.0862 | 7000 | 0.3160          | 0.2161 |
| 0.1755        | 17.2414 | 8000 | 0.3192          | 0.2152 |
| 0.1681        | 19.3966 | 9000 | 0.3181          | 0.2132 |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1