Model save
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- model.safetensors +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: mms-1b-bem-female-sv
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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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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/cicasote/huggingface/runs/tuxgh6td)
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# mms-1b-bem-female-sv
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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: 0.2132
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- Wer: 0.3557
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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: 8
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- eval_batch_size: 8
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- seed: 42
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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: 500
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- num_epochs: 5.0
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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 | Wer |
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|:-------------:|:------:|:----:|:---------------:|:------:|
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| No log | 0.3992 | 200 | 0.3566 | 0.5019 |
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| No log | 0.7984 | 400 | 0.2620 | 0.4029 |
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| 1.7214 | 1.1976 | 600 | 0.2546 | 0.4100 |
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| 1.7214 | 1.5968 | 800 | 0.2359 | 0.3965 |
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| 0.2801 | 1.9960 | 1000 | 0.2322 | 0.3810 |
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| 0.2801 | 2.3952 | 1200 | 0.2305 | 0.3746 |
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| 0.2801 | 2.7944 | 1400 | 0.2258 | 0.3336 |
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| 0.2528 | 3.1936 | 1600 | 0.2262 | 0.4309 |
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| 0.2528 | 3.5928 | 1800 | 0.2164 | 0.3514 |
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| 0.2351 | 3.9920 | 2000 | 0.2215 | 0.3894 |
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| 0.2351 | 4.3912 | 2200 | 0.2165 | 0.3624 |
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| 0.2351 | 4.7904 | 2400 | 0.2132 | 0.3557 |
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### Framework versions
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- Transformers 4.43.0
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- Pytorch 2.3.1+cu121
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- Datasets 2.21.0
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- Tokenizers 0.19.1
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model.safetensors
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