End of training

README.md

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 ---
 library_name: transformers
-tags: []
+license: apache-2.0
+base_model: facebook/wav2vec2-large-xlsr-53
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: xlsr-a-nomimo-ag
+  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. -->
+
+# xlsr-a-nomimo-ag
+
+This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3557
+- Wer: 0.3488
+
+## 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: 0.0004
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 16
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 132
+- num_epochs: 50
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss | Wer    |
+|:-------------:|:-------:|:----:|:---------------:|:------:|
+| 4.6325        | 1.9275  | 200  | 2.6167          | 1.0    |
+| 1.6918        | 3.8502  | 400  | 0.5002          | 0.6674 |
+| 0.4587        | 5.7729  | 600  | 0.2962          | 0.5378 |
+| 0.2519        | 7.6957  | 800  | 0.3525          | 0.4776 |
+| 0.1919        | 9.6184  | 1000 | 0.3203          | 0.3588 |
+| 0.172         | 11.5411 | 1200 | 0.3277          | 0.3796 |
+| 0.1073        | 13.4638 | 1400 | 0.3040          | 0.3951 |
+| 0.1129        | 15.3865 | 1600 | 0.2973          | 0.3634 |
+| 0.0811        | 17.3092 | 1800 | 0.3278          | 0.3696 |
+| 0.0931        | 19.2319 | 2000 | 0.2994          | 0.3619 |
+| 0.0755        | 21.1546 | 2200 | 0.3818          | 0.3627 |
+| 0.0723        | 23.0773 | 2400 | 0.3354          | 0.3673 |
+| 0.0606        | 25.0    | 2600 | 0.2995          | 0.3557 |
+| 0.0595        | 26.9275 | 2800 | 0.3685          | 0.3557 |
+| 0.0527        | 28.8502 | 3000 | 0.3813          | 0.3866 |
+| 0.0451        | 30.7729 | 3200 | 0.3707          | 0.3611 |
+| 0.0374        | 32.6957 | 3400 | 0.3243          | 0.3619 |
+| 0.0411        | 34.6184 | 3600 | 0.3236          | 0.3573 |
+| 0.0319        | 36.5411 | 3800 | 0.3399          | 0.3557 |
+| 0.0289        | 38.4638 | 4000 | 0.3429          | 0.3495 |
+| 0.0296        | 40.3865 | 4200 | 0.3523          | 0.3603 |
+| 0.0302        | 42.3092 | 4400 | 0.3489          | 0.3503 |
+| 0.0238        | 44.2319 | 4600 | 0.3400          | 0.3519 |
+| 0.0246        | 46.1546 | 4800 | 0.3541          | 0.3495 |
+| 0.0215        | 48.0773 | 5000 | 0.3557          | 0.3488 |
+
+
+### Framework versions
+
+- Transformers 4.47.0.dev0
+- Pytorch 2.4.0
+- Datasets 3.0.1
+- Tokenizers 0.20.0

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