End of training

README.md

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+---
+library_name: transformers
+license: cc-by-sa-4.0
+base_model: airesearch/wav2vec2-large-xlsr-53-th
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: wav2vec2-large-xlsr-53-th-speech-emotion-recognition-3c-10ep
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# wav2vec2-large-xlsr-53-th-speech-emotion-recognition-3c-10ep
+
+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.
+It achieves the following results on the evaluation set:
+- Loss: 0.4026
+- Accuracy: 0.8579
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 3e-05
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 128
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
+|:-------------:|:------:|:----:|:---------------:|:--------:|
+| 1.0361        | 0.9956 | 57   | 0.9022          | 0.6033   |
+| 0.6365        | 1.9913 | 114  | 0.6374          | 0.7322   |
+| 0.5076        | 2.9869 | 171  | 0.4952          | 0.7967   |
+| 0.4822        | 4.0    | 229  | 0.4808          | 0.8098   |
+| 0.4601        | 4.9956 | 286  | 0.4637          | 0.8306   |
+| 0.3938        | 5.9913 | 343  | 0.4559          | 0.8317   |
+| 0.365         | 6.9869 | 400  | 0.4052          | 0.8546   |
+| 0.3498        | 8.0    | 458  | 0.3902          | 0.8590   |
+| 0.3246        | 8.9956 | 515  | 0.4144          | 0.8546   |
+| 0.3388        | 9.9563 | 570  | 0.4026          | 0.8579   |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.1+cu121
+- Datasets 3.0.1
+- Tokenizers 0.19.1

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runs/Oct14_19-58-41_6317b7b59f6c/events.out.tfevents.1728935923.6317b7b59f6c.718.0

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