Model save

README.md

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+---
+license: apache-2.0
+base_model: facebook/wav2vec2-base
+tags:
+- generated_from_trainer
+datasets:
+- audiofolder
+metrics:
+- accuracy
+model-index:
+- name: result1
+  results:
+  - task:
+      name: Audio Classification
+      type: audio-classification
+    dataset:
+      name: audiofolder
+      type: audiofolder
+      config: default
+      split: train
+      args: default
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.979381443298969
+---
+
+<!-- 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. -->
+
+# result1
+
+This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the audiofolder dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.1566
+- Accuracy: 0.9794
+
+## 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: 3e-05
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 128
+- 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 |
+|:-------------:|:------:|:----:|:---------------:|:--------:|
+| No log        | 0.9231 | 3    | 1.3671          | 0.9588   |
+| No log        | 1.8462 | 6    | 1.3125          | 0.9897   |
+| No log        | 2.7692 | 9    | 1.2705          | 0.9691   |
+| 1.372         | 4.0    | 13   | 1.2335          | 0.9794   |
+| 1.372         | 4.9231 | 16   | 1.2130          | 0.9897   |
+| 1.372         | 5.8462 | 19   | 1.1962          | 0.9794   |
+| 1.2696        | 6.7692 | 22   | 1.1803          | 0.9794   |
+| 1.2696        | 8.0    | 26   | 1.1640          | 0.9794   |
+| 1.2696        | 8.9231 | 29   | 1.1574          | 0.9794   |
+| 1.208         | 9.2308 | 30   | 1.1566          | 0.9794   |
+
+
+### Framework versions
+
+- Transformers 4.40.1
+- Pytorch 2.1.1+cu118
+- Datasets 2.20.0
+- Tokenizers 0.19.1

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runs/Aug05_22-17-51_mim/events.out.tfevents.1722883671.mim.4503.5

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