---
license: apache-2.0
base_model: facebook/wav2vec2-base-960h
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: wev2vec-base960-agu-amharic
  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. -->

# wev2vec-base960-agu-amharic

This model is a fine-tuned version of [facebook/wav2vec2-base-960h](https://huggingface.co./facebook/wav2vec2-base-960h) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3117
- Accuracy: 0.9230

## 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: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 0.8682        | 0.6649 | 500  | 0.7632          | 0.7564   |
| 0.4482        | 1.3298 | 1000 | 0.3501          | 0.9103   |
| 0.2724        | 1.9947 | 1500 | 0.3117          | 0.9230   |
| 0.2269        | 2.6596 | 2000 | 0.3456          | 0.9268   |
| 0.1663        | 3.3245 | 2500 | 0.3743          | 0.9275   |
| 0.1737        | 3.9894 | 3000 | 0.3714          | 0.9327   |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1