Model save
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- model.safetensors +1 -1
README.md
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---
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library_name: transformers
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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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model-index:
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- name: mms-1b-all-swagen-combined-m50f50-dnn-42-0.09
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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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# mms-1b-all-swagen-combined-m50f50-dnn-42-0.09
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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: 0.2732
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- Cer: 0.0598
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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: 0.0003
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- train_batch_size: 8
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- eval_batch_size: 4
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- seed: 42
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 16
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 250
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- num_epochs: 15.0
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Cer |
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|:-------------:|:-------:|:----:|:---------------:|:------:|
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| 0.5590 | 1.9723 | 250 | 0.6531 | 0.1216 |
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| 0.1688 | 3.9407 | 500 | 0.2886 | 0.0570 |
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| 0.7161 | 5.9091 | 750 | 0.2852 | 0.0588 |
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| 0.0688 | 7.8775 | 1000 | 0.2722 | 0.0590 |
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| 0.0460 | 9.8458 | 1250 | 0.2724 | 0.0592 |
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| 0.1164 | 11.8142 | 1500 | 0.2734 | 0.0603 |
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| 1.3794 | 13.7826 | 1750 | 0.2732 | 0.0598 |
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### Framework versions
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- Transformers 4.53.0.dev0
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- Pytorch 2.6.0+cu124
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- Datasets 3.6.0
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- Tokenizers 0.21.0
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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-
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size 3878630084
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version https://git-lfs.github.com/spec/v1
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size 3878630084
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