End of training

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: facebook/hubert-base-ls960
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+model-index:
+- name: hubert-emotion-classifier-pt-en-v1
+  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. -->
+
+# hubert-emotion-classifier-pt-en-v1
+
+This model is a fine-tuned version of [facebook/hubert-base-ls960](https://huggingface.co/facebook/hubert-base-ls960) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7939
+- Accuracy: 0.7505
+- F1: 0.7515
+
+## 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: 2e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 5
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
+| 1.8613        | 1.0   | 507  | 1.5444          | 0.4191   | 0.3587 |
+| 1.4103        | 2.0   | 1014 | 1.1065          | 0.6509   | 0.6295 |
+| 1.0985        | 3.0   | 1521 | 0.9485          | 0.6903   | 0.6840 |
+| 0.9208        | 4.0   | 2028 | 0.8915          | 0.7061   | 0.7013 |
+| 0.8196        | 5.0   | 2535 | 0.7939          | 0.7505   | 0.7515 |
+
+
+### Framework versions
+
+- Transformers 4.53.1
+- Pytorch 2.6.0+cu124
+- Datasets 2.14.4
+- Tokenizers 0.21.2