---
license: apache-2.0
base_model: facebook/hubert-large-ls960-ft
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: hubert-agum960-amharic
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# hubert-agum960-amharic

This model is a fine-tuned version of [facebook/hubert-large-ls960-ft](https://huggingface.co./facebook/hubert-large-ls960-ft) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3169
- Accuracy: 0.9395

## 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 |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 0.5275        | 0.6649 | 500  | 0.4740          | 0.8483   |
| 0.2923        | 1.3298 | 1000 | 0.3727          | 0.8999   |
| 0.2168        | 1.9947 | 1500 | 0.4175          | 0.9073   |
| 0.1442        | 2.6596 | 2000 | 0.3471          | 0.9312   |
| 0.1341        | 3.3245 | 2500 | 0.3641          | 0.9275   |
| 0.1136        | 3.9894 | 3000 | 0.3286          | 0.9432   |
| 0.1102        | 4.6543 | 3500 | 0.3169          | 0.9395   |


### Framework versions

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