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-E30_freq_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-E30_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: 2.0912
+- Cer: 46.1231
+
+## 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     |
+|:-------------:|:------:|:----:|:---------------:|:-------:|
+| 31.7937       | 0.1289 | 200  | 5.1147          | 100.0   |
+| 4.9653        | 0.2579 | 400  | 4.6684          | 100.0   |
+| 4.8114        | 0.3868 | 600  | 4.6765          | 100.0   |
+| 4.7658        | 0.5158 | 800  | 4.6123          | 97.7150 |
+| 4.6791        | 0.6447 | 1000 | 4.6076          | 98.9544 |
+| 4.6438        | 0.7737 | 1200 | 4.6205          | 97.6974 |
+| 4.5903        | 0.9026 | 1400 | 4.4614          | 97.8442 |
+| 4.439         | 1.0316 | 1600 | 4.4028          | 98.2848 |
+| 4.1968        | 1.1605 | 1800 | 4.2323          | 94.1612 |
+| 3.8917        | 1.2895 | 2000 | 3.8326          | 78.5127 |
+| 3.5148        | 1.4184 | 2200 | 3.6092          | 70.7119 |
+| 3.2601        | 1.5474 | 2400 | 3.3938          | 71.4873 |
+| 3.0276        | 1.6763 | 2600 | 3.1059          | 64.2094 |
+| 2.8883        | 1.8053 | 2800 | 2.9391          | 61.2841 |
+| 2.7381        | 1.9342 | 3000 | 2.7814          | 59.1929 |
+| 2.5905        | 2.0632 | 3200 | 2.5964          | 54.9988 |
+| 2.4555        | 2.1921 | 3400 | 2.3926          | 51.0456 |
+| 2.3566        | 2.3211 | 3600 | 2.3930          | 51.1689 |
+| 2.2751        | 2.4500 | 3800 | 2.2846          | 49.4596 |
+| 2.1796        | 2.5790 | 4000 | 2.1934          | 48.0028 |
+| 2.1292        | 2.7079 | 4200 | 2.1426          | 47.0923 |
+| 2.0724        | 2.8369 | 4400 | 2.1201          | 47.0042 |
+| 2.0759        | 2.9658 | 4600 | 2.0912          | 46.1231 |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.1+cu121
+- Datasets 3.0.1
+- Tokenizers 0.19.1

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