End of training

README.md

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+---
+license: bsd-3-clause
+base_model: minoosh/ast-finetuned-audioset-10-10-0.4593-finetuned-ie
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: ASTie-finetuned-on-shEMO_speech
+  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. -->
+
+# ASTie-finetuned-on-shEMO_speech
+
+This model is a fine-tuned version of [minoosh/ast-finetuned-audioset-10-10-0.4593-finetuned-ie](https://huggingface.co/minoosh/ast-finetuned-audioset-10-10-0.4593-finetuned-ie) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.1646
+- Accuracy: 0.81
+
+## 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: 8
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 15
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.8071        | 1.0   | 75   | 0.7501          | 0.7933   |
+| 0.6495        | 2.0   | 150  | 0.6482          | 0.78     |
+| 0.2065        | 3.0   | 225  | 0.6468          | 0.82     |
+| 0.0629        | 4.0   | 300  | 0.8847          | 0.78     |
+| 0.014         | 5.0   | 375  | 0.9425          | 0.81     |
+| 0.0086        | 6.0   | 450  | 0.8603          | 0.83     |
+| 0.0017        | 7.0   | 525  | 0.9790          | 0.8367   |
+| 0.0005        | 8.0   | 600  | 0.9910          | 0.8267   |
+| 0.0002        | 9.0   | 675  | 0.9920          | 0.8433   |
+| 0.0067        | 10.0  | 750  | 1.0013          | 0.84     |
+| 0.0001        | 11.0  | 825  | 1.0186          | 0.8433   |
+| 0.0001        | 12.0  | 900  | 1.0189          | 0.8433   |
+| 0.0001        | 13.0  | 975  | 1.0227          | 0.8433   |
+| 0.0038        | 14.0  | 1050 | 1.0279          | 0.8433   |
+| 0.0034        | 15.0  | 1125 | 1.0293          | 0.8433   |
+
+
+### Framework versions
+
+- Transformers 4.34.1
+- Pytorch 1.12.0+cu116
+- Datasets 2.14.6
+- Tokenizers 0.14.1

pytorch_model.bin

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