Gummybear05
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wav2vec2-E10_freq_speed_pause

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 ---
 library_name: transformers
-tags: []
 ---
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 ---
 library_name: transformers
+license: apache-2.0
+base_model: facebook/wav2vec2-xls-r-300m
+tags:
+- generated_from_trainer
+model-index:
+- name: wav2vec2-E10_freq_speed_pause
+  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. -->
+# wav2vec2-E10_freq_speed_pause
+This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.1732
+- Cer: 46.9807
+## 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: 0.0001
+- 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: 50
+- num_epochs: 3
+- mixed_precision_training: Native AMP
+### Training results
+| Training Loss | Epoch  | Step | Validation Loss | Cer     |
+|:-------------:|:------:|:----:|:---------------:|:-------:|
+| 34.0782       | 0.1289 | 200  | 5.1516          | 100.0   |
+| 5.0781        | 0.2579 | 400  | 4.7666          | 100.0   |
+| 4.9696        | 0.3868 | 600  | 4.6840          | 100.0   |
+| 4.906         | 0.5158 | 800  | 4.6904          | 100.0   |
+| 4.7963        | 0.6447 | 1000 | 4.6462          | 100.0   |
+| 4.7565        | 0.7737 | 1200 | 4.6231          | 100.0   |
+| 4.7372        | 0.9026 | 1400 | 4.5947          | 100.0   |
+| 4.6765        | 1.0316 | 1600 | 4.5636          | 100.0   |
+| 4.6162        | 1.1605 | 1800 | 4.5811          | 99.9354 |
+| 4.4587        | 1.2895 | 2000 | 4.4613          | 96.3346 |
+| 4.1506        | 1.4184 | 2200 | 4.2476          | 95.7766 |
+| 3.8599        | 1.5474 | 2400 | 3.8368          | 73.1262 |
+| 3.34          | 1.6763 | 2600 | 3.3885          | 64.8085 |
+| 3.1038        | 1.8053 | 2800 | 3.1215          | 61.0491 |
+| 2.9058        | 1.9342 | 3000 | 2.9318          | 58.3705 |
+| 2.7231        | 2.0632 | 3200 | 2.7934          | 57.7244 |
+| 2.5775        | 2.1921 | 3400 | 2.6023          | 53.1661 |
+| 2.4413        | 2.3211 | 3600 | 2.5756          | 54.5759 |
+| 2.3662        | 2.4500 | 3800 | 2.3468          | 50.9810 |
+| 2.2503        | 2.5790 | 4000 | 2.2820          | 49.2892 |
+| 2.231         | 2.7079 | 4200 | 2.2980          | 49.1483 |
+| 2.1522        | 2.8369 | 4400 | 2.1792          | 47.4389 |
+| 2.1532        | 2.9658 | 4600 | 2.1732          | 46.9807 |
+### Framework versions
+- Transformers 4.44.2
+- Pytorch 2.4.1+cu121
+- Datasets 3.0.1
+- Tokenizers 0.19.1

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