End of training

README.md

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+---
+license: apache-2.0
+base_model: facebook/wav2vec2-base-960h
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: wev2vec-base960-agu-amharic
+  results: []
+---
+
+<!-- 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. -->
+
+# wev2vec-base960-agu-amharic
+
+This model is a fine-tuned version of [facebook/wav2vec2-base-960h](https://huggingface.co/facebook/wav2vec2-base-960h) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3714
+- Accuracy: 0.9327
+
+## 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: 1e-05
+- train_batch_size: 16
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
+|:-------------:|:------:|:----:|:---------------:|:--------:|
+| 0.8682        | 0.6649 | 500  | 0.7632          | 0.7564   |
+| 0.4482        | 1.3298 | 1000 | 0.3501          | 0.9103   |
+| 0.2724        | 1.9947 | 1500 | 0.3117          | 0.9230   |
+| 0.2269        | 2.6596 | 2000 | 0.3456          | 0.9268   |
+| 0.1663        | 3.3245 | 2500 | 0.3743          | 0.9275   |
+| 0.1737        | 3.9894 | 3000 | 0.3714          | 0.9327   |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.1.2
+- Datasets 2.19.2
+- Tokenizers 0.19.1

all_results.json

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+}

config.json

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+  "add_adapter": false,
+  "apply_spec_augment": true,
+  "architectures": [
+    "Wav2Vec2ForSpeechClassification"
+  ],
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+  "contrastive_logits_temperature": 0.1,
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+  "feat_quantizer_dropout": 0.0,
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+  "finetuning_task": "wev2vec_clf",
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+  "id2label": {
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+    "1": "02Fearful",
+    "2": "03Happy",
+    "3": "04Sad",
+    "4": "05Angry"
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+  "num_negatives": 100,
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+  "pooling_mode": "mean",
+  "problem_type": "single_label_classification",
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+  "torch_dtype": "float32",
+  "transformers_version": "4.41.2",
+  "use_weighted_layer_sum": false,
+  "vocab_size": 32,
+  "xvector_output_dim": 512
+}

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preprocessor_config.json

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