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README.md
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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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metrics:
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- accuracy
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model-index:
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- name: ser_model_adjusted_2023-03-03___2
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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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# ser_model_adjusted_2023-03-03___2
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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: 0.9107
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- Accuracy: 0.7443
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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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| 1.78 | 0.97 | 16 | 1.7021 | 0.2595 |
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| 1.5997 | 1.97 | 32 | 1.4990 | 0.4313 |
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| 1.5263 | 2.97 | 48 | 1.3821 | 0.4580 |
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| 1.3081 | 3.97 | 64 | 1.2632 | 0.5 |
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| 1.1996 | 4.97 | 80 | 1.2325 | 0.5115 |
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| 1.2048 | 5.97 | 96 | 1.1371 | 0.5611 |
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| 1.0209 | 6.97 | 112 | 1.0667 | 0.6145 |
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| 1.0388 | 7.97 | 128 | 1.0138 | 0.6679 |
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| 0.8895 | 8.97 | 144 | 0.9657 | 0.6947 |
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| 0.8569 | 9.97 | 160 | 0.9107 | 0.7443 |
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### Framework versions
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- Transformers 4.25.1
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- Pytorch 1.12.1
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- Datasets 2.7.1
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- Tokenizers 0.13.2
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runs/Mar03_22-04-00_speech-emotion-recognition-classifier/events.out.tfevents.1677883950.speech-emotion-recognition-classifier
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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 sha256:352ed38dbedd29c5d92de8893d857ddf2f35f25ed8c6bb17e08d81eadb54c33e
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size 363
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