End of training

README.md

@@ -0,0 +1,89 @@
+---
+library_name: transformers
+license: apache-2.0
+base_model: yuval6967/wav2vec2-base-finetuned-gtzan
+tags:
+- generated_from_trainer
+datasets:
+- marsyas/gtzan
+metrics:
+- accuracy
+model-index:
+- name: wav2vec2-base-finetuned-gtzan-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: 0.83
+---
+
+<!-- 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. -->
+
+# wav2vec2-base-finetuned-gtzan-finetuned-gtzan
+
+This model is a fine-tuned version of [yuval6967/wav2vec2-base-finetuned-gtzan](https://huggingface.co/yuval6967/wav2vec2-base-finetuned-gtzan) on the GTZAN dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.1628
+- Accuracy: 0.83
+
+## 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: 4
+- eval_batch_size: 4
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 8
+- 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
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
+|:-------------:|:------:|:----:|:---------------:|:--------:|
+| 0.2026        | 0.9956 | 112  | 1.2365          | 0.78     |
+| 0.3141        | 2.0    | 225  | 1.0698          | 0.8      |
+| 0.0457        | 2.9956 | 337  | 0.9390          | 0.84     |
+| 0.1295        | 4.0    | 450  | 1.1925          | 0.82     |
+| 0.0108        | 4.9956 | 562  | 0.9958          | 0.86     |
+| 0.1734        | 6.0    | 675  | 1.5863          | 0.75     |
+| 0.0067        | 6.9956 | 787  | 0.9112          | 0.85     |
+| 0.2115        | 8.0    | 900  | 1.0695          | 0.83     |
+| 0.0061        | 8.9956 | 1012 | 1.1494          | 0.82     |
+| 0.0038        | 9.9556 | 1120 | 1.1628          | 0.83     |
+
+
+### Framework versions
+
+- Transformers 4.45.0.dev0
+- Pytorch 2.3.1+cu121
+- Datasets 2.21.0
+- Tokenizers 0.19.1

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c1f6fd7502ccf07b90e49a6dd028cefd9a33263796eb2dc234eb3ebe35684576
+oid sha256:268fad11079d9da7c0041e55d6f2db24a1bb8cfdbfb04f084160eceadb1111de
 size 378310592

runs/Aug14_07-18-01_600394a6e4df/events.out.tfevents.1723619883.600394a6e4df.420.1

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:fc6b949d63f4085947d64f227d3b90b73ffd0bd443c0e3494719384e6f66548a
-size 57228
+oid sha256:7a47987145971b3dfcfbc4182cd0695e217a67e7ffefa0e7f273a21d04cfcbab
+size 57905