End of training

README.md

@@ -0,0 +1,86 @@
+---
+license: apache-2.0
+base_model: ntu-spml/distilhubert
+tags:
+- generated_from_trainer
+datasets:
+- marsyas/gtzan
+metrics:
+- accuracy
+model-index:
+- name: distilhubert-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: 0.82
+---
+
+<!-- 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. -->
+
+# distilhubert-finetuned-gtzan
+
+This model is a fine-tuned version of [ntu-spml/distilhubert](https://huggingface.co/ntu-spml/distilhubert) on the GTZAN dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5792
+- Accuracy: 0.82
+
+## 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: 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: 0.1
+- num_epochs: 10
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 1.9743        | 1.0   | 113  | 1.8161          | 0.4      |
+| 1.3821        | 2.0   | 226  | 1.2591          | 0.62     |
+| 1.102         | 3.0   | 339  | 0.9714          | 0.77     |
+| 0.887         | 4.0   | 452  | 0.8785          | 0.73     |
+| 0.6339        | 5.0   | 565  | 0.7081          | 0.82     |
+| 0.3795        | 6.0   | 678  | 0.6486          | 0.8      |
+| 0.4686        | 7.0   | 791  | 0.5590          | 0.84     |
+| 0.2374        | 8.0   | 904  | 0.5647          | 0.82     |
+| 0.2828        | 9.0   | 1017 | 0.5322          | 0.82     |
+| 0.1725        | 10.0  | 1130 | 0.5792          | 0.82     |
+
+
+### Framework versions
+
+- Transformers 4.37.1
+- Pytorch 2.1.0+cu121
+- Datasets 2.16.1
+- Tokenizers 0.15.1

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:8a55b89eac55dfd250fc99b9e11b4db9b02fc0874d3a72c176e3c96d5932460a
+oid sha256:2260f55367507d450b1a661f3363d773f4b1194eb14905dce5ff6ac527e97838
 size 94771728

runs/Jan28_07-02-53_8322d646a317/events.out.tfevents.1706425382.8322d646a317.2802.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:019743f5bb8afd9047b7ff2292f6139ce2d23d5438405c2a0edef28819990105
-size 40269
+oid sha256:843bd77e6fe37cd5d08676c2606aeb7bd125978ada5bceb1aefe98fca92e82bb
+size 44557