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---
license: cc-by-nc-4.0
base_model: facebook/mms-1b-all
tags:
- generated_from_trainer
datasets:
- cs224s
metrics:
- wer
model-index:
- name: mms1b-finetuned-somali-2
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: cs224s
type: cs224s
config: default
split: validation
args: default
metrics:
- name: Wer
type: wer
value: 0.7171474358974359
---
<!-- 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. -->
# mms1b-finetuned-somali-2
This model is a fine-tuned version of [facebook/mms-1b-all](https://huggingface.co./facebook/mms-1b-all) on the cs224s dataset.
It achieves the following results on the evaluation set:
- Loss: inf
- Wer: 0.7171
## 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: 0.001
- train_batch_size: 64
- 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: 100
- num_epochs: 1
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:------:|:----:|:---------------:|:------:|
| 6.6588 | 0.0621 | 10 | inf | 1.0780 |
| 4.564 | 0.1242 | 20 | inf | 1.0011 |
| 3.0343 | 0.1863 | 30 | inf | 0.9997 |
| 0.0 | 0.2484 | 40 | inf | 1.0 |
| 2.7924 | 0.3106 | 50 | inf | 1.0 |
| 2.4904 | 0.3727 | 60 | inf | 0.9960 |
| 1.9781 | 0.4348 | 70 | inf | 0.7764 |
| 0.0 | 0.4969 | 80 | inf | 0.7893 |
| 1.2978 | 0.5590 | 90 | inf | 0.7252 |
| 1.3457 | 0.6211 | 100 | inf | 0.7145 |
| 1.7188 | 0.6832 | 110 | inf | 0.6912 |
| 0.0 | 0.7453 | 120 | inf | 0.7086 |
| 1.3715 | 0.8075 | 130 | inf | 0.9119 |
| 1.09 | 0.8696 | 140 | inf | 0.7236 |
| 1.7369 | 0.9317 | 150 | inf | 0.7123 |
| 0.0 | 0.9938 | 160 | inf | 0.7171 |
### Framework versions
- Transformers 4.42.0.dev0
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1
|