End of training

README.md

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+---
+license: apache-2.0
+base_model: bookbot/distil-ast-audioset
+tags:
+- generated_from_trainer
+datasets:
+- Nooon/Donate_a_cry
+metrics:
+- accuracy
+model-index:
+- name: distil-ast-audioset-finetuned-cry
+  results:
+  - task:
+      name: Audio Classification
+      type: audio-classification
+    dataset:
+      name: DonateACry
+      type: Nooon/Donate_a_cry
+      config: train
+      split: train
+      args: train
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.9347826086956522
+---
+
+<!-- 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. -->
+
+# distil-ast-audioset-finetuned-cry
+
+This model is a fine-tuned version of [bookbot/distil-ast-audioset](https://huggingface.co/bookbot/distil-ast-audioset) on the DonateACry dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2731
+- Accuracy: 0.9348
+
+## 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: 2e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.05
+- num_epochs: 10
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.424         | 1.0   | 46   | 0.2375          | 0.9565   |
+| 0.5755        | 2.0   | 92   | 0.3218          | 0.9565   |
+| 0.5466        | 3.0   | 138  | 0.1731          | 0.9565   |
+| 0.3545        | 4.0   | 184  | 0.2719          | 0.9348   |
+| 0.0759        | 5.0   | 230  | 0.1582          | 0.9348   |
+| 0.0178        | 6.0   | 276  | 0.2576          | 0.9130   |
+| 0.0032        | 7.0   | 322  | 0.2695          | 0.9348   |
+| 0.0014        | 8.0   | 368  | 0.2496          | 0.9348   |
+| 0.0005        | 9.0   | 414  | 0.2639          | 0.9348   |
+| 0.0004        | 10.0  | 460  | 0.2731          | 0.9348   |
+
+
+### Framework versions
+
+- Transformers 4.35.0
+- Pytorch 2.1.0+cu118
+- Datasets 2.14.6
+- Tokenizers 0.14.1

config.json

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+{
+  "_name_or_path": "bookbot/distil-ast-audioset",
+  "architectures": [
+    "ASTForAudioClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "frequency_stride": 10,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "belly_pain",
+    "1": "burping",
+    "2": "discomfort",
+    "3": "hungry",
+    "4": "tired"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "belly_pain": "0",
+    "burping": "1",
+    "discomfort": "2",
+    "hungry": "3",
+    "tired": "4"
+  },
+  "layer_norm_eps": 1e-12,
+  "max_length": 1024,
+  "model_type": "audio-spectrogram-transformer",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 6,
+  "num_mel_bins": 128,
+  "patch_size": 16,
+  "problem_type": "single_label_classification",
+  "qkv_bias": true,
+  "time_stride": 10,
+  "torch_dtype": "float32",
+  "transformers_version": "4.35.0"
+}

model.safetensors

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+size 174676564

preprocessor_config.json

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+{
+  "do_normalize": true,
+  "feature_extractor_type": "ASTFeatureExtractor",
+  "feature_size": 1,
+  "max_length": 1024,
+  "mean": -4.2677393,
+  "num_mel_bins": 128,
+  "padding_side": "right",
+  "padding_value": 0.0,
+  "return_attention_mask": false,
+  "sampling_rate": 16000,
+  "std": 4.5689974
+}

runs/Nov05_13-23-46_501c447c709e/events.out.tfevents.1699190643.501c447c709e.8788.1

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training_args.bin

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