---
license: apache-2.0
base_model: facebook/wav2vec2-large-960h
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: wev2vec-large960-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-large960-agu-amharic

This model is a fine-tuned version of [facebook/wav2vec2-large-960h](https://huggingface.co/facebook/wav2vec2-large-960h) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3286
- Accuracy: 0.9432

## 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 |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 0.4808        | 0.6649 | 500  | 0.4616          | 0.8655   |
| 0.2885        | 1.3298 | 1000 | 0.4095          | 0.9103   |
| 0.1774        | 1.9947 | 1500 | 0.3286          | 0.9432   |
| 0.1086        | 2.6596 | 2000 | 0.4424          | 0.9402   |
| 0.0949        | 3.3245 | 2500 | 0.4138          | 0.9402   |
| 0.0856        | 3.9894 | 3000 | 0.4155          | 0.9447   |


### Framework versions

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