End of training

README.md

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+---
+license: apache-2.0
+base_model: facebook/wav2vec2-base
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: humor_model_v2
+  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. -->
+
+# humor_model_v2
+
+This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1819
+- Accuracy: 0.9398
+
+## 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 |
+|:-------------:|:------:|:----:|:---------------:|:--------:|
+| No log        | 0.9524 | 5    | 0.4664          | 0.9337   |
+| 0.443         | 1.9048 | 10   | 0.3254          | 0.9096   |
+| 0.443         | 2.8571 | 15   | 0.2968          | 0.8916   |
+| 0.2815        | 4.0    | 21   | 0.2199          | 0.9578   |
+| 0.2815        | 4.9524 | 26   | 0.2257          | 0.9217   |
+| 0.1788        | 5.9048 | 31   | 0.1849          | 0.9880   |
+| 0.1788        | 6.8571 | 36   | 0.1843          | 0.9819   |
+| 0.1849        | 8.0    | 42   | 0.2169          | 0.9277   |
+| 0.1849        | 8.9524 | 47   | 0.2018          | 0.9277   |
+| 0.107         | 9.5238 | 50   | 0.1819          | 0.9398   |
+
+
+### Framework versions
+
+- Transformers 4.41.1
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

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