Model save
Browse files- README.md +80 -0
- 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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metrics:
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- wer
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model-index:
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- name: mms-1b-lozgen-female-model
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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-lozgen-female-model
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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: 0.6218
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- Wer: 0.3962
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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: 4
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- eval_batch_size: 4
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- seed: 42
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- optimizer: Use 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: 100
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- num_epochs: 30.0
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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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| 6.7809 | 0.8696 | 100 | 3.1491 | 0.9759 |
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| 2.6957 | 1.7391 | 200 | 2.0011 | 0.9278 |
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| 1.1829 | 2.6087 | 300 | 0.8064 | 0.6421 |
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| 0.8527 | 3.4783 | 400 | 0.7470 | 0.5333 |
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| 0.8376 | 4.3478 | 500 | 0.6996 | 0.4923 |
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| 0.7567 | 5.2174 | 600 | 0.6792 | 0.4686 |
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| 0.7014 | 6.0870 | 700 | 0.6882 | 0.4555 |
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| 0.7242 | 6.9565 | 800 | 0.6557 | 0.4578 |
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| 0.6895 | 7.8261 | 900 | 0.6532 | 0.4409 |
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| 0.6543 | 8.6957 | 1000 | 0.6477 | 0.4278 |
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| 0.6386 | 9.5652 | 1100 | 0.6592 | 0.4219 |
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| 0.6145 | 10.4348 | 1200 | 0.6435 | 0.4257 |
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| 0.6513 | 11.3043 | 1300 | 0.6570 | 0.4147 |
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| 0.5788 | 12.1739 | 1400 | 0.6259 | 0.4086 |
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| 0.6061 | 13.0435 | 1500 | 0.6179 | 0.4006 |
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| 0.5647 | 13.9130 | 1600 | 0.6186 | 0.4006 |
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| 0.5715 | 14.7826 | 1700 | 0.6271 | 0.3985 |
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| 0.5502 | 15.6522 | 1800 | 0.6218 | 0.3962 |
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### Framework versions
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- Transformers 4.48.0.dev0
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- Pytorch 2.5.1+cu124
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- Datasets 3.2.0
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- Tokenizers 0.21.0
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model.safetensors
CHANGED
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 3858885800
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version https://git-lfs.github.com/spec/v1
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oid sha256:0bd6a27e8bdebf4c94c786b6963d3112dda3559b88eea68e98e943025f3de265
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size 3858885800
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