End of training

README.md

@@ -0,0 +1,76 @@
+---
+library_name: transformers
+license: bsd-3-clause
+base_model: MIT/ast-finetuned-audioset-10-10-0.4593
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- precision
+- recall
+- f1
+model-index:
+- name: revix_classifier
+  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. -->
+
+# revix_classifier
+
+This model is a fine-tuned version of [MIT/ast-finetuned-audioset-10-10-0.4593](https://huggingface.co/MIT/ast-finetuned-audioset-10-10-0.4593) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4733
+- Accuracy: 0.9292
+- Precision: 0.9492
+- Recall: 0.9106
+- F1: 0.9295
+
+## 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: 5e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| 0.4055        | 1.0   | 120  | 0.4456          | 0.8      | 0.7698    | 0.8699 | 0.8168 |
+| 0.4578        | 2.0   | 240  | 0.4217          | 0.875    | 0.8345    | 0.9431 | 0.8855 |
+| 0.2235        | 3.0   | 360  | 0.4959          | 0.85     | 0.9780    | 0.7236 | 0.8318 |
+| 0.092         | 4.0   | 480  | 0.3820          | 0.9083   | 0.9391    | 0.8780 | 0.9076 |
+| 0.2152        | 5.0   | 600  | 0.5537          | 0.8792   | 0.8615    | 0.9106 | 0.8854 |
+| 0.0612        | 6.0   | 720  | 0.4747          | 0.9292   | 0.9417    | 0.9187 | 0.9300 |
+| 0.0382        | 7.0   | 840  | 0.4424          | 0.925    | 0.9412    | 0.9106 | 0.9256 |
+| 0.0015        | 8.0   | 960  | 0.4647          | 0.925    | 0.9646    | 0.8862 | 0.9237 |
+| 0.0005        | 9.0   | 1080 | 0.4684          | 0.9292   | 0.9492    | 0.9106 | 0.9295 |
+| 0.0006        | 10.0  | 1200 | 0.4733          | 0.9292   | 0.9492    | 0.9106 | 0.9295 |
+
+
+### Framework versions
+
+- Transformers 4.56.1
+- Pytorch 2.8.0+cu126
+- Datasets 4.0.0
+- Tokenizers 0.22.0

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:dbd1407b91273c6610360f67c371b913230c869f5fd3ffc302a09fd3a079e320
+oid sha256:3cb715f1901079830f164435a3bc123cc0db56caff453100acdaef13425e13b3
 size 344790040