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: cc-by-sa-4.0
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base_model: airesearch/wav2vec2-large-xlsr-53-th
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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-large-xlsr-53-th-speech-emotion-recognition-3c
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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-large-xlsr-53-th-speech-emotion-recognition-3c
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This model is a fine-tuned version of [airesearch/wav2vec2-large-xlsr-53-th](https://huggingface.co/airesearch/wav2vec2-large-xlsr-53-th) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4445
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- Accuracy: 0.8492
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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: 20
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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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| 1.0305 | 0.9956 | 57 | 1.0278 | 0.4874 |
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| 0.6947 | 1.9913 | 114 | 0.6649 | 0.6645 |
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| 0.622 | 2.9869 | 171 | 0.5644 | 0.7607 |
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| 0.5051 | 4.0 | 229 | 0.4936 | 0.7967 |
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| 0.4791 | 4.9956 | 286 | 0.4235 | 0.8328 |
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| 0.3918 | 5.9913 | 343 | 0.4273 | 0.8328 |
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| 0.3399 | 6.9869 | 400 | 0.4316 | 0.8437 |
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| 0.3473 | 8.0 | 458 | 0.4013 | 0.8448 |
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| 0.3276 | 8.9956 | 515 | 0.4140 | 0.8437 |
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| 0.3355 | 9.9913 | 572 | 0.4069 | 0.8459 |
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| 0.2958 | 10.9869 | 629 | 0.4440 | 0.8372 |
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| 0.2803 | 12.0 | 687 | 0.4381 | 0.8404 |
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| 0.2996 | 12.9956 | 744 | 0.4100 | 0.8492 |
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| 0.2995 | 13.9913 | 801 | 0.4310 | 0.8459 |
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| 0.2645 | 14.9869 | 858 | 0.4590 | 0.8393 |
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| 0.279 | 16.0 | 916 | 0.4317 | 0.8492 |
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| 0.249 | 16.9956 | 973 | 0.4564 | 0.8437 |
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| 0.238 | 17.9913 | 1030 | 0.4473 | 0.8459 |
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| 0.209 | 18.9869 | 1087 | 0.4428 | 0.8492 |
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| 0.2323 | 19.9127 | 1140 | 0.4445 | 0.8492 |
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### Framework versions
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- Transformers 4.44.2
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- Pytorch 2.4.1+cu121
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- Datasets 3.0.1
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- Tokenizers 0.19.1
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model.safetensors
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size 1262860332
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runs/Oct14_19-03-06_8d68dec6f11e/events.out.tfevents.1728932588.8d68dec6f11e.970.0
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size
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size 37657
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