metadata
license: cc-by-nc-4.0
base_model: facebook/mms-1b-l1107
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: wav2vec2-mms-1b-l1107-mus-asr-10m
results: []
wav2vec2-mms-1b-l1107-mus-asr-10m
This model is a fine-tuned version of facebook/mms-1b-l1107 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.9032
- Wer: 1.0
- Cer: 1.0
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|---|---|---|---|---|---|
| No log | 2.9630 | 20 | 17.7141 | 1.0 | 0.9311 |
| No log | 5.9259 | 40 | 3.9032 | 1.0 | 1.0 |
Framework versions
- Transformers 4.40.2
- Pytorch 1.10.1
- Datasets 2.19.1
- Tokenizers 0.19.1