End of training
Browse files- README.md +79 -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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metrics:
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- accuracy
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- f1
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model-index:
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- name: wav2vec2-base-finetuned-iemocap-fin
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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-iemocap-fin
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This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.1760
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- Accuracy: 0.5839
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- F1: 0.5773
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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: 8
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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: 32
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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: 15
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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| 1.2283 | 1.0 | 102 | 1.2181 | 0.4840 | 0.4756 |
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| 1.124 | 2.0 | 204 | 1.1143 | 0.5015 | 0.4808 |
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| 1.062 | 3.0 | 306 | 1.1103 | 0.5189 | 0.5067 |
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| 0.9863 | 4.0 | 408 | 1.0813 | 0.5189 | 0.5152 |
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| 0.9689 | 5.0 | 510 | 1.0689 | 0.5403 | 0.5318 |
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| 0.8722 | 6.0 | 612 | 1.0976 | 0.5296 | 0.4992 |
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| 0.8757 | 7.0 | 714 | 1.0409 | 0.5606 | 0.5518 |
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| 0.8548 | 8.0 | 816 | 1.0479 | 0.5694 | 0.5636 |
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| 0.838 | 9.0 | 918 | 1.1700 | 0.5422 | 0.5109 |
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| 0.7536 | 10.0 | 1020 | 1.0743 | 0.5674 | 0.5681 |
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| 0.6557 | 11.0 | 1122 | 1.1487 | 0.5616 | 0.5495 |
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| 0.6193 | 12.0 | 1224 | 1.1239 | 0.5849 | 0.5815 |
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| 0.5742 | 13.0 | 1326 | 1.1793 | 0.5742 | 0.5617 |
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| 0.5717 | 14.0 | 1428 | 1.1548 | 0.5868 | 0.5809 |
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| 0.5929 | 15.0 | 1530 | 1.1760 | 0.5839 | 0.5773 |
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### Framework versions
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- Transformers 4.34.0
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- Pytorch 2.0.1+cu118
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- Datasets 2.14.5
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- Tokenizers 0.14.0
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pytorch_model.bin
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 378352489
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version https://git-lfs.github.com/spec/v1
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oid sha256:1dc6d2008143873da0bff678176e4370e2d8d1aebae71095ecb1486311f270d2
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size 378352489
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