End of training

README.md

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+---
+license: apache-2.0
+base_model: facebook/wav2vec2-base-960h
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: BirdClef-wav2vec
+  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. -->
+
+# BirdClef-wav2vec
+
+This model is a fine-tuned version of [facebook/wav2vec2-base-960h](https://huggingface.co/facebook/wav2vec2-base-960h) on the BirdCLEF24 dataset.
+It achieves the following results on the evaluation set:
+- Accuracy: 0.0204
+- Loss: 4.6406
+
+## 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: 5e-05
+- train_batch_size: 3
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step  | Accuracy | Validation Loss |
+|:-------------:|:-----:|:-----:|:--------:|:---------------:|
+| 4.6298        | 1.0   | 8153  | 0.0204   | 4.6469          |
+| 4.649         | 2.0   | 16306 | 0.0204   | 4.6439          |
+| 4.6759        | 3.0   | 24459 | 0.0204   | 4.6406          |
+
+
+### Framework versions
+
+- Transformers 4.33.2
+- Pytorch 2.0.1+cu117
+- Datasets 2.14.5
+- Tokenizers 0.13.3

config.json

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+{
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+  "xvector_output_dim": 512
+}

pytorch_model.bin

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special_tokens_map.json

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tokenizer_config.json

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+}

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+}