metadata
library_name: transformers
license: cc-by-nc-4.0
base_model: mms-meta/mms-zeroshot-300m
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: mms-300m-ngen
results: []
mms-300m-ngen
This model is a fine-tuned version of mms-meta/mms-zeroshot-300m on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: nan
- Wer: 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: 0.0005
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| No log | 1.0 | 83 | nan | 1.0 |
| 25801981134110.72 | 2.0 | 166 | nan | 1.0 |
| 0.0 | 3.0 | 249 | nan | 1.0 |
| 0.0 | 4.0 | 332 | nan | 1.0 |
| 0.0 | 4.9483 | 410 | nan | 1.0 |
Framework versions
- Transformers 4.48.0.dev0
- Pytorch 2.5.1
- Datasets 3.2.0
- Tokenizers 0.21.0