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---
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license: apache-2.0
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tags:
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- generated_from_trainer
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datasets:
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- new_dataset
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metrics:
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- accuracy
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model-index:
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- name: wav2vec2-base-finetuned-manthan_base
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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-finetuned-manthan_base
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This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the new_dataset dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.2246
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- Accuracy: 0.9691
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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: 3e-05
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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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| 2.4725 | 0.98 | 12 | 2.4222 | 0.1057 |
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| 2.4501 | 1.98 | 24 | 2.2420 | 0.2784 |
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| 2.2977 | 2.98 | 36 | 2.0155 | 0.7603 |
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| 2.1331 | 3.98 | 48 | 1.8193 | 0.8582 |
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| 1.7927 | 4.98 | 60 | 1.6376 | 0.9459 |
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| 1.7226 | 5.98 | 72 | 1.4940 | 0.9613 |
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| 1.6036 | 6.98 | 84 | 1.3632 | 0.9665 |
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| 1.5181 | 7.98 | 96 | 1.2963 | 0.9562 |
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| 1.4384 | 8.98 | 108 | 1.2406 | 0.9742 |
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| 1.3339 | 9.98 | 120 | 1.2246 | 0.9691 |
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### Framework versions
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- Transformers 4.19.0
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- Pytorch 1.11.0+cu113
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- Datasets 1.14.0
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- Tokenizers 0.12.1
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