---
license: apache-2.0
base_model: Samuael/asr-alffamharic-phoneme-based
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: asr-alffamharic-phoneme-based
  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. -->

# asr-alffamharic-phoneme-based

This model is a fine-tuned version of [Samuael/asr-alffamharic-phoneme-based](https://huggingface.co/Samuael/asr-alffamharic-phoneme-based) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4498
- Wer: 0.1084

## 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: 5e-05
- train_batch_size: 32
- 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

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 1.2273        | 0.59  | 200  | 1.0408          | 0.3569 |
| 0.7702        | 1.18  | 400  | 0.8009          | 0.2169 |
| 0.6769        | 1.76  | 600  | 0.6978          | 0.1869 |
| 0.5454        | 2.35  | 800  | 0.6163          | 0.1696 |
| 0.5779        | 2.94  | 1000 | 0.5616          | 0.1554 |
| 0.4996        | 3.53  | 1200 | 0.5413          | 0.1437 |
| 0.5648        | 4.12  | 1400 | 0.5111          | 0.1439 |
| 0.4741        | 4.71  | 1600 | 0.5178          | 0.1371 |
| 0.499         | 5.29  | 1800 | 0.4943          | 0.1324 |
| 0.4247        | 5.88  | 2000 | 0.4884          | 0.1279 |
| 0.4008        | 6.47  | 2200 | 0.4667          | 0.1254 |
| 0.2744        | 7.06  | 2400 | 0.4626          | 0.1288 |
| 0.3495        | 7.65  | 2600 | 0.4794          | 0.1229 |
| 0.4016        | 8.24  | 2800 | 0.4548          | 0.1228 |
| 0.3833        | 8.82  | 3000 | 0.4660          | 0.1209 |
| 0.3684        | 9.41  | 3200 | 0.4463          | 0.1235 |
| 0.4149        | 10.0  | 3400 | 0.4697          | 0.1171 |
| 0.3917        | 10.59 | 3600 | 0.4570          | 0.1188 |
| 0.2957        | 11.18 | 3800 | 0.4431          | 0.1171 |
| 0.3054        | 11.76 | 4000 | 0.4530          | 0.1163 |
| 0.2755        | 12.35 | 4200 | 0.4690          | 0.1138 |
| 0.3091        | 12.94 | 4400 | 0.4551          | 0.1157 |
| 0.2617        | 13.53 | 4600 | 0.4557          | 0.1147 |
| 0.2725        | 14.12 | 4800 | 0.4670          | 0.1088 |
| 0.2795        | 14.71 | 5000 | 0.4486          | 0.1118 |
| 0.3493        | 15.29 | 5200 | 0.4471          | 0.1109 |
| 0.2949        | 15.88 | 5400 | 0.4469          | 0.1090 |
| 0.2802        | 16.47 | 5600 | 0.4516          | 0.1100 |
| 0.2655        | 17.06 | 5800 | 0.4418          | 0.1105 |
| 0.3211        | 17.65 | 6000 | 0.4351          | 0.1095 |
| 0.2245        | 18.24 | 6200 | 0.4436          | 0.1093 |
| 0.2244        | 18.82 | 6400 | 0.4493          | 0.1091 |
| 0.2549        | 19.41 | 6600 | 0.4502          | 0.1082 |
| 0.3528        | 20.0  | 6800 | 0.4498          | 0.1084 |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0