Commit
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Parent(s):
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End of training
Browse files- README.md +73 -0
- adapter.{}.safetensors +1 -1
- pytorch_model.bin +1 -1
README.md
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---
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license: cc-by-nc-4.0
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base_model: facebook/mms-1b-all
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tags:
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- generated_from_trainer
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metrics:
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- wer
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model-index:
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- name: wav2vec2-large-mms-1b-tira-lid
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# wav2vec2-large-mms-1b-tira-lid
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This model is a fine-tuned version of [facebook/mms-1b-all](https://huggingface.co/facebook/mms-1b-all) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0473
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- Wer: 0.0167
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.001
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- train_batch_size: 1
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- eval_batch_size: 8
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 2
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- total_train_batch_size: 2
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- total_eval_batch_size: 16
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 100
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- num_epochs: 4
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Wer |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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| 0.2876 | 0.42 | 100 | 0.0493 | 0.0167 |
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| 0.2922 | 0.84 | 200 | 0.1215 | 0.05 |
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| 0.2377 | 1.26 | 300 | 0.0741 | 0.0333 |
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| 0.1442 | 1.67 | 400 | 0.1658 | 0.0333 |
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| 0.0873 | 2.09 | 500 | 0.0204 | 0.0 |
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| 0.0695 | 2.51 | 600 | 0.0691 | 0.0167 |
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| 0.075 | 2.93 | 700 | 0.0758 | 0.0333 |
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| 0.0412 | 3.35 | 800 | 0.0650 | 0.0167 |
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| 0.0523 | 3.77 | 900 | 0.0473 | 0.0167 |
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### Framework versions
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- Transformers 4.32.1
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- Pytorch 2.0.1+cu117
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- Datasets 2.14.4
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- Tokenizers 0.13.3
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adapter.{}.safetensors
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pytorch_model.bin
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