Model save

README.md

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+---
+library_name: transformers
+license: cc-by-nc-4.0
+base_model: facebook/mms-1b-all
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: mms-1b-bem-genbed-all
+  results: []
+---
+
+<!-- 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. -->
+
+# mms-1b-bem-genbed-all
+
+This model is a fine-tuned version of [facebook/mms-1b-all](https://huggingface.co/facebook/mms-1b-all) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2479
+- Wer: 0.4062
+
+## 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: 0.0003
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 5.0
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Wer    |
+|:-------------:|:------:|:----:|:---------------:|:------:|
+| No log        | 0.2747 | 200  | 0.6312          | 0.6736 |
+| No log        | 0.5495 | 400  | 0.3199          | 0.4919 |
+| 2.9901        | 0.8242 | 600  | 0.3014          | 0.4613 |
+| 2.9901        | 1.0989 | 800  | 0.2825          | 0.4433 |
+| 0.3968        | 1.3736 | 1000 | 0.2783          | 0.4541 |
+| 0.3968        | 1.6484 | 1200 | 0.2732          | 0.4294 |
+| 0.3968        | 1.9231 | 1400 | 0.2649          | 0.4244 |
+| 0.3766        | 2.1978 | 1600 | 0.2621          | 0.4204 |
+| 0.3766        | 2.4725 | 1800 | 0.2628          | 0.4171 |
+| 0.3537        | 2.7473 | 2000 | 0.2579          | 0.4187 |
+| 0.3537        | 3.0220 | 2200 | 0.2557          | 0.4034 |
+| 0.3537        | 3.2967 | 2400 | 0.2524          | 0.4091 |
+| 0.3529        | 3.5714 | 2600 | 0.2535          | 0.4061 |
+| 0.3529        | 3.8462 | 2800 | 0.2495          | 0.4034 |
+| 0.3393        | 4.1209 | 3000 | 0.2494          | 0.4065 |
+| 0.3393        | 4.3956 | 3200 | 0.2488          | 0.4066 |
+| 0.3393        | 4.6703 | 3400 | 0.2482          | 0.4028 |
+| 0.3332        | 4.9451 | 3600 | 0.2479          | 0.4062 |
+
+
+### Framework versions
+
+- Transformers 4.45.0.dev0
+- Pytorch 2.4.0+cu121
+- Datasets 2.21.0
+- Tokenizers 0.19.1

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runs/Sep06_22-35-02_957b6e261270/events.out.tfevents.1725662140.957b6e261270.11504.0

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