Model save

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: facebook/wav2vec2-xls-r-1b
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: xls-r-1b-bem-natbed-combined-model
+  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. -->
+
+# xls-r-1b-bem-natbed-combined-model
+
+This model is a fine-tuned version of [facebook/wav2vec2-xls-r-1b](https://huggingface.co/facebook/wav2vec2-xls-r-1b) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7916
+- Wer: 0.7758
+
+## 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: 4
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 8
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 30.0
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Wer    |
+|:-------------:|:------:|:----:|:---------------:|:------:|
+| No log        | 0.1252 | 100  | 1.3725          | 0.9805 |
+| No log        | 0.2505 | 200  | 0.9491          | 0.8541 |
+| No log        | 0.3757 | 300  | 0.9524          | 0.8137 |
+| No log        | 0.5009 | 400  | 1.0355          | 0.9016 |
+| 1.7945        | 0.6262 | 500  | 0.9611          | 0.8788 |
+| 1.7945        | 0.7514 | 600  | 0.9790          | 0.8642 |
+| 1.7945        | 0.8766 | 700  | 0.9877          | 0.8602 |
+| 1.7945        | 1.0019 | 800  | 0.9604          | 0.8925 |
+| 1.7945        | 1.1271 | 900  | 0.8880          | 0.8328 |
+| 0.9885        | 1.2523 | 1000 | 0.8917          | 0.8368 |
+| 0.9885        | 1.3776 | 1100 | 0.9034          | 0.8306 |
+| 0.9885        | 1.5028 | 1200 | 0.8478          | 0.7938 |
+| 0.9885        | 1.6281 | 1300 | 0.8666          | 0.8628 |
+| 0.9885        | 1.7533 | 1400 | 0.8331          | 0.8218 |
+| 0.8854        | 1.8785 | 1500 | 0.8405          | 0.8045 |
+| 0.8854        | 2.0038 | 1600 | 0.7801          | 0.7879 |
+| 0.8854        | 2.1290 | 1700 | 0.8305          | 0.7917 |
+| 0.8854        | 2.2542 | 1800 | 0.7972          | 0.7911 |
+| 0.8854        | 2.3795 | 1900 | 0.7916          | 0.7758 |
+
+
+### Framework versions
+
+- Transformers 4.46.0.dev0
+- Pytorch 2.4.1+cu121
+- Datasets 3.0.1
+- Tokenizers 0.20.0

runs/Sep29_08-03-03_08560ebc7a23/events.out.tfevents.1727597042.08560ebc7a23.5836.0

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