End of training

README.md

@@ -0,0 +1,81 @@
+---
+license: apache-2.0
+base_model: chaouch/distilhubert-finetuned-gtzan
+tags:
+- generated_from_trainer
+datasets:
+- marsyas/gtzan
+metrics:
+- accuracy
+model-index:
+- name: distilhubert-finetuned-gtzan-finetuned-gtzan2
+  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: 0.85
+---
+
+<!-- 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-finetuned-gtzan2
+
+This model is a fine-tuned version of [chaouch/distilhubert-finetuned-gtzan](https://huggingface.co/chaouch/distilhubert-finetuned-gtzan) on the GTZAN dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7901
+- Accuracy: 0.85
+
+## 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: 16
+- eval_batch_size: 16
+- 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: 5
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.0776        | 1.0   | 57   | 0.7597          | 0.81     |
+| 0.0272        | 2.0   | 114  | 0.6991          | 0.84     |
+| 0.0132        | 3.0   | 171  | 0.7621          | 0.85     |
+| 0.0089        | 4.0   | 228  | 0.7702          | 0.85     |
+| 0.0071        | 5.0   | 285  | 0.7901          | 0.85     |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.17.0
+- Tokenizers 0.15.2

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:1ff1ea1ad6003a2fb07dc5a851dabf9664b0b5fb961ad64c9881f3acc1a79158
+oid sha256:545f1b9b8ac63dddff49adbea4bf080b7af731df1ca330e56f7a3f143486010a
 size 94771728