End of training

README.md

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+---
+license: apache-2.0
+base_model: hughlan1214/SER_wav2vec2-large-xlsr-53_240303
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- precision
+- recall
+- f1
+model-index:
+- name: SER_wav2vec2-large-xlsr-53_240304_fin-tuned
+  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. -->
+
+# SER_wav2vec2-large-xlsr-53_240304_fin-tuned
+
+This model is a fine-tuned version of [hughlan1214/SER_wav2vec2-large-xlsr-53_240303](https://huggingface.co/hughlan1214/SER_wav2vec2-large-xlsr-53_240303) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.1815
+- Accuracy: 0.5776
+- Precision: 0.6236
+- Recall: 0.5921
+- F1: 0.5806
+
+## 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: 8
+- eval_batch_size: 4
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| 1.5816        | 1.0   | 1048 | 1.4920          | 0.4392   | 0.4568    | 0.4623 | 0.4226 |
+| 1.2355        | 2.0   | 2096 | 1.2957          | 0.5135   | 0.6082    | 0.5292 | 0.5192 |
+| 1.0605        | 3.0   | 3144 | 1.2225          | 0.5405   | 0.5925    | 0.5531 | 0.5462 |
+| 1.0291        | 4.0   | 4192 | 1.2163          | 0.5586   | 0.6215    | 0.5739 | 0.5660 |
+| 1.0128        | 5.0   | 5240 | 1.1815          | 0.5776   | 0.6236    | 0.5921 | 0.5806 |
+
+
+### Framework versions
+
+- Transformers 4.38.1
+- Pytorch 2.2.1
+- Datasets 2.17.1
+- Tokenizers 0.15.2