Upload folder using huggingface_hub

.gitignore

@@ -0,0 +1 @@
+checkpoint-*/

README.md

@@ -5,24 +5,9 @@ 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: 0.84
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +17,14 @@ should probably proofread and complete it, then remove this comment. -->
 
 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: 0.6278
-- Accuracy: 0.84
+- eval_loss: 0.4784
+- eval_accuracy: 0.87
+- eval_runtime: 52.0685
+- eval_samples_per_second: 1.921
+- eval_steps_per_second: 0.25
+- epoch: 7.0
+- step: 791
+- Accuracy: 0.87
 
 ## Model description
 
@@ -59,27 +50,11 @@ The following hyperparameters were used during training:
 - 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
-
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 1.951         | 1.0   | 113  | 1.7690          | 0.38     |
-| 1.3034        | 2.0   | 226  | 1.1612          | 0.67     |
-| 1.0602        | 3.0   | 339  | 0.9306          | 0.81     |
-| 0.7441        | 4.0   | 452  | 0.7898          | 0.8      |
-| 0.5939        | 5.0   | 565  | 0.6638          | 0.81     |
-| 0.3561        | 6.0   | 678  | 0.6515          | 0.79     |
-| 0.3599        | 7.0   | 791  | 0.5987          | 0.8      |
-| 0.1462        | 8.0   | 904  | 0.6281          | 0.81     |
-| 0.1511        | 9.0   | 1017 | 0.5793          | 0.84     |
-| 0.152         | 10.0  | 1130 | 0.6278          | 0.84     |
-
+- num_epochs: 15
 
 ### Framework versions
 
-- Transformers 4.34.1
-- Pytorch 2.1.0+cu118
-- Datasets 2.14.6
-- Tokenizers 0.14.1
+- Transformers 4.31.0
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.1
+- Tokenizers 0.13.3

config.json

@@ -90,7 +90,7 @@
   "num_hidden_layers": 2,
   "pad_token_id": 0,
   "torch_dtype": "float32",
-  "transformers_version": "4.34.1",
+  "transformers_version": "4.31.0",
   "use_weighted_layer_sum": false,
   "vocab_size": 32
 }

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ab9591e64ffbc89372acaf16eb65aa27b8f460d5fce7d0692b132e319e35578f
-size 94783885
+oid sha256:613c69cbcb19481a528536583e85660a73708a3e41d7b1ee2d96b1e43e9ff6ce
+size 94783376

runs/Jul29_22-51-59_456ea2c5eb32/events.out.tfevents.1690671151.456ea2c5eb32.12033.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:46ad9b909b764f4890af6b152295509ac2dd7fc47842ee246165226476467b62
+size 129

runs/Jul29_22-55-36_456ea2c5eb32/events.out.tfevents.1690671346.456ea2c5eb32.14082.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:885534c82d87b525f531e53737749bf2ec58b0b336e2ead2c0fd89da06c7c5e1
+size 129

runs/Jul29_22-55-36_456ea2c5eb32/events.out.tfevents.1690671381.456ea2c5eb32.14082.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:303e16cd5fddaa72dbe753810c94efc51511098c2c16b784e8fca73b1874c74a
+size 130

runs/Jul30_05-47-54_37ee90481f92/events.out.tfevents.1690696104.37ee90481f92.453.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:79732da1728a115a45453eb507cd9b7619736d30eb6eef362452fbc87a5e19f6
+size 130

runs/Jul30_18-28-03_592824a800fc/events.out.tfevents.1690741715.592824a800fc.175.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:161b8e6964880ecc06f6228ffa66a392f0207e87aa1ee4ac2ecd9b9b52f428b2
+size 130

runs/Jul30_20-43-40_c33b2f360ca7/events.out.tfevents.1690749829.c33b2f360ca7.272.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6e074228335b830491b41309890bbd39bc76f11a98d26a38ed0dc61979a6de0b
+size 130

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:10c912b882a93a20d51f9ebf2e540ff852188374eb8638a99eec0561e7913c2d
-size 4536
+oid sha256:720807f4ee461f63c48f6726fed928420e40d705993cb0f14f7423167501a0c7
+size 4027