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: 0.6644
+- Accuracy: 0.9596
+
+## 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        | 0.9771 | 32   | 2.2835          | 0.4242   |
+| No log        | 1.9847 | 65   | 1.8355          | 0.6700   |
+| No log        | 2.9924 | 98   | 1.4781          | 0.7576   |
+| 2.2064        | 4.0    | 131  | 1.1889          | 0.8721   |
+| 2.2064        | 4.9771 | 163  | 1.0536          | 0.8687   |
+| 2.2064        | 5.9847 | 196  | 0.8963          | 0.8956   |
+| 1.3725        | 6.9924 | 229  | 0.7865          | 0.9293   |
+| 1.3725        | 8.0    | 262  | 0.7059          | 0.9495   |
+| 1.3725        | 8.9771 | 294  | 0.6644          | 0.9596   |
+| 0.9706        | 9.7710 | 320  | 0.6516          | 0.9596   |
+
+
+### Framework versions
+
+- Transformers 4.42.3
+- Pytorch 2.1.2
+- Datasets 2.20.0
+- Tokenizers 0.19.1

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