End of training

README.md

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+---
+license: apache-2.0
+base_model: facebook/wav2vec2-base
+tags:
+- generated_from_trainer
+datasets:
+- asvp_esd
+metrics:
+- accuracy
+model-index:
+- name: my_awesome_emotion_model
+  results:
+  - task:
+      name: Audio Classification
+      type: audio-classification
+    dataset:
+      name: asvp_esd
+      type: asvp_esd
+      config: ASVP_ESD
+      split: train
+      args: ASVP_ESD
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.46430910281597904
+---
+
+<!-- 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. -->
+
+# my_awesome_emotion_model
+
+This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the asvp_esd dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.7259
+- Accuracy: 0.4643
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 2.4474        | 0.98  | 47   | 2.3539          | 0.2567   |
+| 2.1378        | 1.99  | 95   | 2.1044          | 0.3530   |
+| 2.006         | 2.99  | 143  | 1.9574          | 0.3949   |
+| 1.8966        | 4.0   | 191  | 1.8966          | 0.4060   |
+| 1.851         | 4.98  | 238  | 1.8110          | 0.4348   |
+| 1.7784        | 5.99  | 286  | 1.7655          | 0.4486   |
+| 1.6856        | 6.99  | 334  | 1.7469          | 0.4650   |
+| 1.6076        | 8.0   | 382  | 1.7341          | 0.4558   |
+| 1.6216        | 8.98  | 429  | 1.7312          | 0.4617   |
+| 1.5692        | 9.84  | 470  | 1.7259          | 0.4643   |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu118
+- Datasets 2.15.0
+- Tokenizers 0.15.0

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runs/Nov20_20-38-33_e39f5094c6cd/events.out.tfevents.1700512721.e39f5094c6cd.2231.0

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