End of training

README.md

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+---
+base_model: MIT/ast-finetuned-audioset-10-10-0.4593
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: AST-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. -->
+
+# AST-finetuned-on-shEMO_speech
+
+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 an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6988
+- Accuracy: 0.7967
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.8657        | 1.0   | 75   | 0.7066          | 0.7867   |
+| 0.6951        | 2.0   | 150  | 0.6622          | 0.7567   |
+| 0.3368        | 3.0   | 225  | 0.5851          | 0.8433   |
+| 0.1414        | 4.0   | 300  | 0.7233          | 0.79     |
+| 0.1011        | 5.0   | 375  | 0.8763          | 0.7967   |
+| 0.0438        | 6.0   | 450  | 0.9009          | 0.8067   |
+| 0.0108        | 7.0   | 525  | 1.0540          | 0.83     |
+| 0.0033        | 8.0   | 600  | 1.0177          | 0.81     |
+| 0.0003        | 9.0   | 675  | 1.1074          | 0.84     |
+| 0.0113        | 10.0  | 750  | 1.1107          | 0.8433   |
+| 0.0002        | 11.0  | 825  | 1.1273          | 0.8367   |
+| 0.0001        | 12.0  | 900  | 1.1634          | 0.8333   |
+| 0.0001        | 13.0  | 975  | 1.1502          | 0.84     |
+| 0.0045        | 14.0  | 1050 | 1.1541          | 0.84     |
+| 0.0039        | 15.0  | 1125 | 1.1550          | 0.84     |
+
+
+### 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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