End of training

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: openai/whisper-large-v3
+tags:
+- generated_from_trainer
+datasets:
+- emodb
+metrics:
+- accuracy
+model-index:
+- name: whisper-large-v3-de-emodb-emotion-classification
+  results:
+  - task:
+      name: Audio Classification
+      type: audio-classification
+    dataset:
+      name: Emo-DB
+      type: emodb
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.9439252336448598
+---
+
+<!-- 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. -->
+
+# whisper-large-v3-de-emodb-emotion-classification
+
+This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on the Emo-DB dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3724
+- Accuracy: 0.9439
+
+## 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: 5e-05
+- train_batch_size: 2
+- eval_batch_size: 2
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 10
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 1.3351        | 1.0   | 214  | 1.1022          | 0.4953   |
+| 0.2644        | 2.0   | 428  | 0.7572          | 0.7477   |
+| 0.3796        | 3.0   | 642  | 1.0055          | 0.8131   |
+| 0.0038        | 4.0   | 856  | 1.0754          | 0.8131   |
+| 0.001         | 5.0   | 1070 | 0.5485          | 0.9159   |
+| 0.001         | 6.0   | 1284 | 0.5881          | 0.8785   |
+| 0.0007        | 7.0   | 1498 | 0.3376          | 0.9439   |
+| 0.0006        | 8.0   | 1712 | 0.3592          | 0.9439   |
+| 0.0006        | 9.0   | 1926 | 0.3695          | 0.9439   |
+| 0.0004        | 10.0  | 2140 | 0.3724          | 0.9439   |
+
+
+### Framework versions
+
+- Transformers 4.45.0.dev0
+- Pytorch 2.4.0+cu121
+- Datasets 3.0.0
+- Tokenizers 0.19.1

config.json

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+{
+  "_name_or_path": "openai/whisper-large-v3",
+  "activation_dropout": 0.0,
+  "activation_function": "gelu",
+  "apply_spec_augment": false,
+  "architectures": [
+    "WhisperForAudioClassification"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 50257,
+  "classifier_proj_size": 256,
+  "d_model": 1280,
+  "decoder_attention_heads": 20,
+  "decoder_ffn_dim": 5120,
+  "decoder_layerdrop": 0.0,
+  "decoder_layers": 32,
+  "decoder_start_token_id": 50258,
+  "dropout": 0.0,
+  "encoder_attention_heads": 20,
+  "encoder_ffn_dim": 5120,
+  "encoder_layerdrop": 0.0,
+  "encoder_layers": 32,
+  "eos_token_id": 50257,
+  "id2label": {
+    "0": "anger",
+    "1": "boredom",
+    "2": "disgust",
+    "3": "fear",
+    "4": "happiness",
+    "5": "sadness",
+    "6": "neutral"
+  },
+  "init_std": 0.02,
+  "is_encoder_decoder": true,
+  "label2id": {
+    "anger": "0",
+    "boredom": "1",
+    "disgust": "2",
+    "fear": "3",
+    "happiness": "4",
+    "neutral": "6",
+    "sadness": "5"
+  },
+  "mask_feature_length": 10,
+  "mask_feature_min_masks": 0,
+  "mask_feature_prob": 0.0,
+  "mask_time_length": 10,
+  "mask_time_min_masks": 2,
+  "mask_time_prob": 0.05,
+  "max_source_positions": 1500,
+  "max_target_positions": 448,
+  "median_filter_width": 7,
+  "model_type": "whisper",
+  "num_hidden_layers": 32,
+  "num_mel_bins": 128,
+  "pad_token_id": 50256,
+  "scale_embedding": false,
+  "torch_dtype": "float32",
+  "transformers_version": "4.45.0.dev0",
+  "use_cache": true,
+  "use_weighted_layer_sum": false,
+  "vocab_size": 51866
+}

model.safetensors

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+size 2549249204

preprocessor_config.json

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+{
+  "chunk_length": 30,
+  "feature_extractor_type": "WhisperFeatureExtractor",
+  "feature_size": 128,
+  "hop_length": 160,
+  "n_fft": 400,
+  "n_samples": 480000,
+  "nb_max_frames": 3000,
+  "padding_side": "right",
+  "padding_value": 0.0,
+  "processor_class": "WhisperProcessor",
+  "return_attention_mask": false,
+  "sampling_rate": 16000
+}

runs/Sep16_11-58-14_b404587e1b4a/events.out.tfevents.1726487897.b404587e1b4a.317.0

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training_args.bin

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