transformers safetensors wav2vec2 automatic-speech-recognition generated_from_trainer base_model:GodsonNtungi/asr2 license:apache-2.0 endpoints_compatible region:us
---
license: apache-2.0
base_model: GodsonNtungi/asr2
tags:
- generated_from_trainer
model-index:
- name: asr2
  results: []
---

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# asr2

This model is a fine-tuned version of [GodsonNtungi/asr2](https://huggingface.co/GodsonNtungi/asr2) on the None dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.2567
- eval_wer: 0.2528
- eval_runtime: 6.694
- eval_samples_per_second: 20.914
- eval_steps_per_second: 2.689
- epoch: 3.23
- step: 700

## 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: linear
- lr_scheduler_warmup_steps: 100
- training_steps: 1500
- mixed_precision_training: Native AMP

### Framework versions

- Transformers 4.35.0
- Pytorch 2.0.1
- Datasets 1.18.3
- Tokenizers 0.14.1
