End of training

README.md

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 ---
 library_name: transformers
-tags: []
+license: apache-2.0
+base_model: facebook/wav2vec2-xls-r-300m
+tags:
+- generated_from_trainer
+model-index:
+- name: wav2vec2-E10_speed_pause
+  results: []
 ---
 
-# Model Card for Model ID
-
-<!-- Provide a quick summary of what the model is/does. -->
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-## Model Details
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-### Model Description
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-This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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+<!-- 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_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: 2.3467
+- Cer: 50.0764
+
+## 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     |
+|:-------------:|:------:|:----:|:---------------:|:-------:|
+| 33.121        | 0.1289 | 200  | 5.0379          | 100.0   |
+| 5.0221        | 0.2579 | 400  | 4.6710          | 100.0   |
+| 4.8585        | 0.3868 | 600  | 4.6327          | 100.0   |
+| 4.8155        | 0.5158 | 800  | 4.6354          | 100.0   |
+| 4.7249        | 0.6447 | 1000 | 4.6274          | 98.6313 |
+| 4.6786        | 0.7737 | 1200 | 4.5950          | 99.5418 |
+| 4.6106        | 0.9026 | 1400 | 4.5545          | 97.9382 |
+| 4.4195        | 1.0316 | 1600 | 4.4562          | 99.2364 |
+| 4.1478        | 1.1605 | 1800 | 4.2379          | 97.5623 |
+| 3.8234        | 1.2895 | 2000 | 3.9072          | 78.5714 |
+| 3.39          | 1.4184 | 2200 | 3.5827          | 76.3628 |
+| 3.2255        | 1.5474 | 2400 | 3.4255          | 73.1497 |
+| 2.9972        | 1.6763 | 2600 | 3.1945          | 66.3593 |
+| 2.8726        | 1.8053 | 2800 | 3.0039          | 62.3884 |
+| 2.7321        | 1.9342 | 3000 | 2.9409          | 62.7526 |
+| 2.6263        | 2.0632 | 3200 | 2.7179          | 58.0945 |
+| 2.5459        | 2.1921 | 3400 | 2.6416          | 57.8536 |
+| 2.4325        | 2.3211 | 3600 | 2.6501          | 56.4850 |
+| 2.3828        | 2.4500 | 3800 | 2.5066          | 55.4688 |
+| 2.2717        | 2.5790 | 4000 | 2.4522          | 53.1837 |
+| 2.2597        | 2.7079 | 4200 | 2.3933          | 50.6403 |
+| 2.2042        | 2.8369 | 4400 | 2.3427          | 50.8752 |
+| 2.197         | 2.9658 | 4600 | 2.3467          | 50.0764 |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.1+cu121
+- Datasets 3.0.1
+- Tokenizers 0.19.1

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