End of training
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README.md
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---
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license: apache-2.0
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base_model: facebook/wav2vec2-base
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: test-model
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# test-model
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This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3947
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- Accuracy: 0.8833
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 16
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 64
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_ratio: 0.3
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- num_epochs: 10
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:------:|:----:|:---------------:|:--------:|
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| 1.0551 | 0.9960 | 62 | 0.9662 | 0.5412 |
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| 0.9308 | 1.9920 | 124 | 0.8707 | 0.5433 |
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| 0.7962 | 2.9880 | 186 | 0.7354 | 0.6841 |
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| 0.7254 | 4.0 | 249 | 0.7400 | 0.7042 |
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| 0.5941 | 4.9960 | 311 | 0.5405 | 0.8169 |
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| 0.4736 | 5.9920 | 373 | 0.5045 | 0.8471 |
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| 0.4399 | 6.9880 | 435 | 0.4102 | 0.8813 |
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| 0.374 | 8.0 | 498 | 0.4052 | 0.8813 |
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| 0.3425 | 8.9960 | 560 | 0.4335 | 0.8632 |
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| 0.3171 | 9.9598 | 620 | 0.3947 | 0.8833 |
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### Framework versions
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- Transformers 4.44.0
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- Pytorch 2.4.0
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- Datasets 2.21.0
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- Tokenizers 0.19.1
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