End of training

README.md

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+---
+license: apache-2.0
+base_model: facebook/wav2vec2-base
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: test-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. -->
+
+# test-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: 0.6441
+- Accuracy: 0.8966
+
+## 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: 16
+- eval_batch_size: 16
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 64
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 10
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
+|:-------------:|:------:|:----:|:---------------:|:--------:|
+| No log        | 0.9231 | 3    | 1.0856          | 0.5517   |
+| No log        | 1.8462 | 6    | 1.0685          | 0.7586   |
+| No log        | 2.7692 | 9    | 0.9550          | 0.7931   |
+| No log        | 4.0    | 13   | 0.8194          | 0.7931   |
+| No log        | 4.9231 | 16   | 0.7648          | 0.7931   |
+| No log        | 5.8462 | 19   | 0.7405          | 0.7931   |
+| No log        | 6.7692 | 22   | 0.6911          | 0.7931   |
+| No log        | 8.0    | 26   | 0.6441          | 0.8966   |
+| No log        | 8.9231 | 29   | 0.6226          | 0.8966   |
+| No log        | 9.2308 | 30   | 0.6165          | 0.8966   |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

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