End of training

README.md

@@ -0,0 +1,69 @@
+---
+license: apache-2.0
+base_model: ntu-spml/distilhubert
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: distilhubert-finetuned-gtzan
+  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. -->
+
+# distilhubert-finetuned-gtzan
+
+This model is a fine-tuned version of [ntu-spml/distilhubert](https://huggingface.co/ntu-spml/distilhubert) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.4484
+- Accuracy: 0.65
+
+## 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: 1e-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: 8
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 2.2604        | 1.0   | 113  | 2.2157          | 0.38     |
+| 1.972         | 2.0   | 226  | 1.9740          | 0.45     |
+| 1.8073        | 3.0   | 339  | 1.7988          | 0.54     |
+| 1.6946        | 4.0   | 452  | 1.6666          | 0.64     |
+| 1.582         | 5.0   | 565  | 1.5732          | 0.61     |
+| 1.6468        | 6.0   | 678  | 1.4905          | 0.65     |
+| 1.4905        | 7.0   | 791  | 1.4661          | 0.65     |
+| 1.4801        | 8.0   | 904  | 1.4484          | 0.65     |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.16.0
+- Tokenizers 0.15.0

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:4c9a5d92ab65324fad8e9ebac1b37b49d5e28777e28b1c142f8eb65d439aae84
+oid sha256:c54e85d806a4b9a43da65adbc761a3880b07d707f15af95c634b20c795d6a721
 size 94771728

runs/Dec24_14-31-54_cb0cbbf69a97/events.out.tfevents.1703428315.cb0cbbf69a97.401.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:19433cf30f186d210dfffa7edf7e8abd9a71c2d17e9fc6d51e15b00c251d077d
+size 36548

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:dfb3b80eba3adaa3ff63b57f44a9e7f576929b48ee591cf2fb54a09e517988c1
+oid sha256:36d3c9ebd605eb7add78d6a57ab0ec69c75deaa04ab95f01ab374f7b3e721091
 size 4600