Model save

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: facebook/wav2vec2-base
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: my_awesome_mind_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. -->
+
+# my_awesome_mind_model
+
+This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.6689
+- Accuracy: 0.0708
+
+## 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: 3e-05
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 128
+- optimizer: Use OptimizerNames.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_ratio: 0.1
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 0.8   | 3    | 2.6472          | 0.0708   |
+| No log        | 1.8   | 6    | 2.6533          | 0.0796   |
+| No log        | 2.8   | 9    | 2.6596          | 0.0973   |
+| 3.022         | 3.8   | 12   | 2.6593          | 0.0885   |
+| 3.022         | 4.8   | 15   | 2.6647          | 0.0885   |
+| 3.022         | 5.8   | 18   | 2.6676          | 0.0708   |
+| 3.0098        | 6.8   | 21   | 2.6694          | 0.0708   |
+| 3.0098        | 7.8   | 24   | 2.6701          | 0.0708   |
+| 3.0098        | 8.8   | 27   | 2.6691          | 0.0796   |
+| 2.9946        | 9.8   | 30   | 2.6689          | 0.0708   |
+
+
+### Framework versions
+
+- Transformers 4.48.3
+- Pytorch 2.5.1+cu124
+- Tokenizers 0.21.0

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