End of training

README.md

@@ -0,0 +1,101 @@
+---
+license: apache-2.0
+base_model: openai/whisper-large-v3
+tags:
+- generated_from_trainer
+datasets:
+- marsyas/gtzan
+metrics:
+- accuracy
+model-index:
+- name: whisper-large-v3-finetuned-gtzan
+  results:
+  - task:
+      name: Audio Classification
+      type: audio-classification
+    dataset:
+      name: GTZAN
+      type: marsyas/gtzan
+      config: all
+      split: train
+      args: all
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.94
+---
+
+<!-- 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-finetuned-gtzan
+
+This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on the GTZAN dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2657
+- Accuracy: 0.94
+
+## 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: 4e-05
+- train_batch_size: 1
+- eval_batch_size: 1
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 4
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 16
+- total_eval_batch_size: 4
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 10
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 2.1646        | 0.5   | 28   | 1.8012          | 0.55     |
+| 1.0152        | 1.0   | 56   | 0.8618          | 0.79     |
+| 1.1129        | 1.49  | 84   | 0.7426          | 0.8      |
+| 0.8163        | 1.99  | 112  | 0.8078          | 0.75     |
+| 0.4374        | 2.49  | 140  | 0.6259          | 0.81     |
+| 0.4607        | 2.99  | 168  | 0.5424          | 0.83     |
+| 0.4225        | 3.48  | 196  | 0.3723          | 0.89     |
+| 0.1769        | 3.98  | 224  | 0.3517          | 0.9      |
+| 0.0927        | 4.48  | 252  | 0.3385          | 0.89     |
+| 0.0159        | 4.98  | 280  | 0.3985          | 0.88     |
+| 0.0119        | 5.48  | 308  | 0.4626          | 0.9      |
+| 0.029         | 5.97  | 336  | 0.4292          | 0.91     |
+| 0.0064        | 6.47  | 364  | 0.2710          | 0.93     |
+| 0.0057        | 6.97  | 392  | 0.2665          | 0.93     |
+| 0.0048        | 7.47  | 420  | 0.2784          | 0.93     |
+| 0.0049        | 7.96  | 448  | 0.2550          | 0.94     |
+| 0.0049        | 8.46  | 476  | 0.3011          | 0.94     |
+| 0.0044        | 8.96  | 504  | 0.2759          | 0.94     |
+| 0.0045        | 9.46  | 532  | 0.2661          | 0.94     |
+| 0.0048        | 9.96  | 560  | 0.2657          | 0.94     |
+
+
+### Framework versions
+
+- Transformers 4.37.2
+- Pytorch 2.2.0+cu121
+- Datasets 2.17.0
+- Tokenizers 0.15.1

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:867ed3fc6849eb86258023d34a3ba3dd0f7fa31f2ce0191d4405d2c9ce250bd3
+oid sha256:6178a17b44fb65a40e82a540b733a715c8ac9d5deaa5668c036dcd3ea6075258
 size 2549252296

runs/Feb13_22-12-10_rocket/events.out.tfevents.1707829938.rocket.2101387.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:2d908f19b2070ed4755dbb5f1812f1a7741d2657498ad4543c5d6300119bf2a8
-size 28129
+oid sha256:9dfa7b18b5fa10ad0976ce5d751424012c94ee17e3cd7e9bb9855c554273e019
+size 29748