End of training
Browse files- README.md +35 -1
- model.safetensors +1 -1
README.md
CHANGED
|
@@ -6,9 +6,24 @@ tags:
|
|
| 6 |
- generated_from_trainer
|
| 7 |
datasets:
|
| 8 |
- marsyas/gtzan
|
|
|
|
|
|
|
| 9 |
model-index:
|
| 10 |
- name: distilhubert-finetuned-gtzan
|
| 11 |
-
results:
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 12 |
---
|
| 13 |
|
| 14 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
@@ -17,6 +32,9 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 17 |
# distilhubert-finetuned-gtzan
|
| 18 |
|
| 19 |
This model is a fine-tuned version of [ntu-spml/distilhubert](https://huggingface.co/ntu-spml/distilhubert) on the GTZAN dataset.
|
|
|
|
|
|
|
|
|
|
| 20 |
|
| 21 |
## Model description
|
| 22 |
|
|
@@ -45,6 +63,22 @@ The following hyperparameters were used during training:
|
|
| 45 |
- num_epochs: 10
|
| 46 |
- mixed_precision_training: Native AMP
|
| 47 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 48 |
### Framework versions
|
| 49 |
|
| 50 |
- Transformers 4.46.2
|
|
|
|
| 6 |
- generated_from_trainer
|
| 7 |
datasets:
|
| 8 |
- marsyas/gtzan
|
| 9 |
+
metrics:
|
| 10 |
+
- accuracy
|
| 11 |
model-index:
|
| 12 |
- name: distilhubert-finetuned-gtzan
|
| 13 |
+
results:
|
| 14 |
+
- task:
|
| 15 |
+
name: Audio Classification
|
| 16 |
+
type: audio-classification
|
| 17 |
+
dataset:
|
| 18 |
+
name: GTZAN
|
| 19 |
+
type: marsyas/gtzan
|
| 20 |
+
config: all
|
| 21 |
+
split: train
|
| 22 |
+
args: all
|
| 23 |
+
metrics:
|
| 24 |
+
- name: Accuracy
|
| 25 |
+
type: accuracy
|
| 26 |
+
value: 0.88
|
| 27 |
---
|
| 28 |
|
| 29 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
|
|
| 32 |
# distilhubert-finetuned-gtzan
|
| 33 |
|
| 34 |
This model is a fine-tuned version of [ntu-spml/distilhubert](https://huggingface.co/ntu-spml/distilhubert) on the GTZAN dataset.
|
| 35 |
+
It achieves the following results on the evaluation set:
|
| 36 |
+
- Loss: 0.4936
|
| 37 |
+
- Accuracy: 0.88
|
| 38 |
|
| 39 |
## Model description
|
| 40 |
|
|
|
|
| 63 |
- num_epochs: 10
|
| 64 |
- mixed_precision_training: Native AMP
|
| 65 |
|
| 66 |
+
### Training results
|
| 67 |
+
|
| 68 |
+
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|
| 69 |
+
|:-------------:|:-----:|:----:|:---------------:|:--------:|
|
| 70 |
+
| 1.9663 | 1.0 | 113 | 1.8546 | 0.46 |
|
| 71 |
+
| 1.2109 | 2.0 | 226 | 1.2251 | 0.64 |
|
| 72 |
+
| 0.988 | 3.0 | 339 | 0.9739 | 0.72 |
|
| 73 |
+
| 0.6418 | 4.0 | 452 | 0.8251 | 0.75 |
|
| 74 |
+
| 0.5553 | 5.0 | 565 | 0.6205 | 0.82 |
|
| 75 |
+
| 0.3105 | 6.0 | 678 | 0.5622 | 0.85 |
|
| 76 |
+
| 0.1894 | 7.0 | 791 | 0.4893 | 0.89 |
|
| 77 |
+
| 0.1195 | 8.0 | 904 | 0.4819 | 0.88 |
|
| 78 |
+
| 0.1017 | 9.0 | 1017 | 0.4817 | 0.89 |
|
| 79 |
+
| 0.0803 | 10.0 | 1130 | 0.4936 | 0.88 |
|
| 80 |
+
|
| 81 |
+
|
| 82 |
### Framework versions
|
| 83 |
|
| 84 |
- Transformers 4.46.2
|
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 94771728
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:341c51e6207f78975963160c2ee328ce785ee4387061678ae436ef87e5abc098
|
| 3 |
size 94771728
|