End of training
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README.md
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---
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library_name: transformers
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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: wav2vec2-base_lr_4e-4
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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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# wav2vec2-base_lr_4e-4
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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: 0.0997
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- Accuracy: 0.9625
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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: 0.0004
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- train_batch_size: 32
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- eval_batch_size: 32
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 128
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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: 0.1
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- num_epochs: 10
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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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| 1.6571 | 0.9851 | 33 | 1.3089 | 0.5679 |
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| 0.9453 | 2.0 | 67 | 0.6596 | 0.7769 |
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| 0.5682 | 2.9851 | 100 | 0.4865 | 0.8482 |
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| 0.5507 | 4.0 | 134 | 0.4255 | 0.8575 |
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| 0.4859 | 4.9851 | 167 | 0.2552 | 0.9044 |
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| 0.3461 | 6.0 | 201 | 0.3066 | 0.8969 |
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| 0.358 | 6.9851 | 234 | 0.1916 | 0.9269 |
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| 0.2854 | 8.0 | 268 | 0.1589 | 0.9447 |
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| 0.192 | 8.9851 | 301 | 0.1160 | 0.9550 |
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| 0.1969 | 9.8507 | 330 | 0.0997 | 0.9625 |
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### Framework versions
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- Transformers 4.44.2
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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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runs/Aug28_18-19-53_ba360f94cec3/events.out.tfevents.1724869195.ba360f94cec3.23.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:22e83fa9bab8c8add8612ad3ab25328e77cf6f290f0d3b515746a2f427b2333b
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size 17438
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