End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.53
+      value: 0.56
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +32,8 @@ 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: 1.5669
-- Accuracy: 0.53
+- Loss: 1.5687
+- Accuracy: 0.56
 
 ## Model description
 
@@ -66,12 +66,12 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 1.6652        | 1.0   | 113  | 1.5669          | 0.53     |
+| 1.6655        | 1.0   | 113  | 1.5687          | 0.56     |
 
 
 ### Framework versions
 
-- Transformers 4.36.2
+- Transformers 4.35.2
 - Pytorch 2.1.0+cu121
-- Datasets 2.16.0
+- Datasets 2.16.1
 - Tokenizers 0.15.0

config.json

@@ -90,7 +90,7 @@
   "num_hidden_layers": 2,
   "pad_token_id": 0,
   "torch_dtype": "float32",
-  "transformers_version": "4.36.2",
+  "transformers_version": "4.35.2",
   "use_weighted_layer_sum": false,
   "vocab_size": 32
 }

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:2f176e4812da326f56be6e8dbdc1cdd73e9cb878e6843a0a8d25f3e21707929e
+oid sha256:aa3d8a5d33f8aa49af814404c6ac1314ce83c70425f0215883165e0cfe14da64
 size 94771728

runs/Jan07_14-16-31_33355434d181/events.out.tfevents.1704636992.33355434d181.1024.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1e090d19aefa7090c7cc4fd257ed9452477cee63d969747f7bff44374bd3b910
+size 9485

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:76fba85fdc1501d240274e0f096bde9afde3cb9455c1dd3de6ca5696568ebbc1
-size 4728
+oid sha256:9ba7fe10fa871a90de68185edec5f1cb1eb87469ec012cd52d6bcda5e47d0755
+size 4600