End of training
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README.md
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---
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license: apache-2.0
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base_model: facebook/wav2vec2-base
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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: humor_model_v1
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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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# humor_model_v1
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This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1840
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- Accuracy: 0.9231
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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: 10
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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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| No log | 0.9231 | 6 | 0.5754 | 0.9231 |
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| 0.5907 | 2.0 | 13 | 0.3002 | 0.9231 |
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| 0.5907 | 2.9231 | 19 | 0.2467 | 0.9231 |
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| 0.3341 | 4.0 | 26 | 0.2232 | 0.9231 |
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| 0.2424 | 4.9231 | 32 | 0.2288 | 0.8894 |
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| 0.2424 | 6.0 | 39 | 0.2577 | 0.8510 |
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| 0.1678 | 6.9231 | 45 | 0.2725 | 0.8558 |
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| 0.1293 | 8.0 | 52 | 0.2767 | 0.8606 |
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| 0.1293 | 8.9231 | 58 | 0.1823 | 0.9279 |
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| 0.1149 | 9.2308 | 60 | 0.1840 | 0.9231 |
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### Framework versions
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- Transformers 4.41.1
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- Pytorch 2.3.0+cu121
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- Datasets 2.19.1
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- Tokenizers 0.19.1
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runs/May25_23-43-48_3990fc60c73d/events.out.tfevents.1716680628.3990fc60c73d.12088.3
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:a2d869ef0bd7297151178f90a532b7b48962a55d64399ab659be5818766efee4
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size 11266
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