End of training

README.md

@@ -0,0 +1,88 @@
+---
+license: bsd-3-clause
+base_model: MIT/ast-finetuned-audioset-10-10-0.4593
+tags:
+- generated_from_trainer
+datasets:
+- Nooon/Donate_a_cry
+metrics:
+- accuracy
+model-index:
+- name: ast-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: 0.5454545454545454
+---
+
+<!-- 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-cry
+
+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 DonateACry dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.6404
+- Accuracy: 0.5455
+
+## 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: 4
+- eval_batch_size: 4
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 8
+- 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 1.6297        | 1.0   | 11   | 1.6891          | 0.3636   |
+| 1.1137        | 2.0   | 22   | 1.3156          | 0.4545   |
+| 0.5047        | 3.0   | 33   | 1.3955          | 0.4545   |
+| 0.2062        | 4.0   | 44   | 1.4002          | 0.6364   |
+| 0.0613        | 5.0   | 55   | 1.6693          | 0.5455   |
+| 0.0142        | 6.0   | 66   | 1.3452          | 0.6364   |
+| 0.0053        | 7.0   | 77   | 1.6914          | 0.5455   |
+| 0.0038        | 8.0   | 88   | 1.6689          | 0.5455   |
+| 0.0027        | 9.0   | 99   | 1.6357          | 0.5455   |
+| 0.002         | 10.0  | 110  | 1.6404          | 0.5455   |
+
+
+### Framework versions
+
+- Transformers 4.35.0
+- Pytorch 2.1.0+cu118
+- Datasets 2.14.6
+- Tokenizers 0.14.1

config.json

@@ -0,0 +1,39 @@
+{
+  "_name_or_path": "MIT/ast-finetuned-audioset-10-10-0.4593",
+  "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": 12,
+  "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

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:694c8348b9a0185eab098ef493d08afec3bf5f6965d35e0838586b2c727ed61b
+size 344799268

preprocessor_config.json

@@ -0,0 +1,13 @@
+{
+  "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_14-46-09_501c447c709e/events.out.tfevents.1699195573.501c447c709e.8788.4

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3ae534ead2ec976c85ba3e26883eb5fbbacaecd64800a958a68c6f8d953ec67a
+size 11444

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:dae16cca1f39d4277eb2bc1ebb82761c8bf30f8d2f74aeef7043aa79df3b1c7a
+size 4664