End of training

README.md

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+---
+license: bsd-3-clause
+base_model: MIT/ast-finetuned-speech-commands-v2
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: v19-ast-finetuned-speech-commands-v2-poisoned
+  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. -->
+
+# v19-ast-finetuned-speech-commands-v2-poisoned
+
+This model is a fine-tuned version of [MIT/ast-finetuned-speech-commands-v2](https://huggingface.co/MIT/ast-finetuned-speech-commands-v2) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0125
+- Accuracy: 1.0
+
+## 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: 30
+- eval_batch_size: 30
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 120
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 0.92  | 6    | 1.6532          | 0.2614   |
+| 5.287         | 2.0   | 13   | 0.0125          | 1.0      |
+| 5.287         | 2.92  | 19   | 0.0006          | 1.0      |
+| 0.0232        | 4.0   | 26   | 0.0003          | 1.0      |
+| 0.0005        | 4.62  | 30   | 0.0003          | 1.0      |
+
+
+### Framework versions
+
+- Transformers 4.37.0
+- Pytorch 2.1.2
+- Datasets 2.16.1
+- Tokenizers 0.15.1

config.json

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+{
+  "_name_or_path": "MIT/ast-finetuned-speech-commands-v2",
+  "architectures": [
+    "ASTForAudioClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "frequency_stride": 10,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "backward",
+    "1": "follow",
+    "2": "five",
+    "3": "bed",
+    "4": "zero",
+    "5": "on",
+    "6": "learn",
+    "7": "two",
+    "8": "house",
+    "9": "tree",
+    "10": "dog",
+    "11": "stop",
+    "12": "seven",
+    "13": "eight",
+    "14": "down",
+    "15": "six",
+    "16": "forward",
+    "17": "cat",
+    "18": "right",
+    "19": "visual",
+    "20": "four",
+    "21": "wow",
+    "22": "no",
+    "23": "nine",
+    "24": "off",
+    "25": "three",
+    "26": "left",
+    "27": "marvin",
+    "28": "yes",
+    "29": "up",
+    "30": "sheila",
+    "31": "happy",
+    "32": "bird",
+    "33": "go",
+    "34": "one"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "backward": 0,
+    "bed": 3,
+    "bird": 32,
+    "cat": 17,
+    "dog": 10,
+    "down": 14,
+    "eight": 13,
+    "five": 2,
+    "follow": 1,
+    "forward": 16,
+    "four": 20,
+    "go": 33,
+    "happy": 31,
+    "house": 8,
+    "learn": 6,
+    "left": 26,
+    "marvin": 27,
+    "nine": 23,
+    "no": 22,
+    "off": 24,
+    "on": 5,
+    "one": 34,
+    "right": 18,
+    "seven": 12,
+    "sheila": 30,
+    "six": 15,
+    "stop": 11,
+    "three": 25,
+    "tree": 9,
+    "two": 7,
+    "up": 29,
+    "visual": 19,
+    "wow": 21,
+    "yes": 28,
+    "zero": 4
+  },
+  "layer_norm_eps": 1e-12,
+  "max_length": 128,
+  "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": "4.37.0"
+}

model.safetensors

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+oid sha256:234e2f7175ba7cc700b776b7106978aa7706d5e41ba7eedd83a0cdcb3447371e
+size 341610652

preprocessor_config.json

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+{
+  "do_normalize": true,
+  "feature_extractor_type": "ASTFeatureExtractor",
+  "feature_size": 1,
+  "max_length": 128,
+  "mean": -6.845978,
+  "num_mel_bins": 128,
+  "padding_side": "right",
+  "padding_value": 0.0,
+  "return_attention_mask": false,
+  "sampling_rate": 16000,
+  "std": 5.5654526
+}

training_args.bin

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