End of training
Browse files- README.md +82 -0
- pytorch_model.bin +1 -1
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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datasets:
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- minds14
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metrics:
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- accuracy
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model-index:
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- name: my_awesome_mind_model
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results:
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- task:
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name: Audio Classification
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type: audio-classification
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dataset:
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name: minds14
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type: minds14
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config: en-US
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split: train
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args: en-US
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.13274336283185842
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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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# my_awesome_mind_model
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This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the minds14 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.5524
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- Accuracy: 0.1327
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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: 5
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- eval_batch_size: 15
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 20
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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: 5
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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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| 2.612 | 0.98 | 22 | 2.6169 | 0.0796 |
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| 2.5848 | 2.0 | 45 | 2.6012 | 0.1239 |
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| 2.5441 | 2.98 | 67 | 2.5818 | 0.1239 |
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| 2.5076 | 4.0 | 90 | 2.5631 | 0.1416 |
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| 2.4494 | 4.89 | 110 | 2.5524 | 0.1327 |
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### Framework versions
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- Transformers 4.32.1
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- Pytorch 2.2.0+cu121
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- Datasets 2.12.0
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- Tokenizers 0.13.3
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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-
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size 378363238
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version https://git-lfs.github.com/spec/v1
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size 378363238
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