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easycall-mms1ball-Nov30
sqrk/easycall-mms1ball-Nov30
easycall-mms1ball-Nov30 is a machine learning model from sqrk. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as cc-by-nc-4.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- License
- cc-by-nc-4.0
- Model type
- wav2vec2
- Access
- Public
- Created
- Nov 30, 2024
- Updated
- Dec 1, 2024
- SHA
- fbdd4482
Base models
Model card
From the Hugging Face model README
<!-- 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. -->
easycall-mms1ball-Nov30
This model is a fine-tuned version of facebook/mms-1b-all on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: inf
- eval_wer: 0.2488
- eval_runtime: 28.8353
- eval_samples_per_second: 28.68
- eval_steps_per_second: 7.179
- epoch: 4.0355
- step: 10000
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: 3
- eval_batch_size: 4
- 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: 100
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.43.4
- Pytorch 2.4.1
- Datasets 3.0.0
- Tokenizers 0.19.1
- Type
- wav2vec2
- License
- cc-by-nc-4.0
- Created
- Nov 30, 2024
- Updated
- Dec 1, 2024