End of training

README.md

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+---
+license: apache-2.0
+base_model: facebook/hubert-base-ls960
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: hubert-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. -->
+
+# hubert-base960-agu-amharic
+
+This model is a fine-tuned version of [facebook/hubert-base-ls960](https://huggingface.co/facebook/hubert-base-ls960) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3496
+- Accuracy: 0.9297
+
+## 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 |
+|:-------------:|:------:|:----:|:---------------:|:--------:|
+| 0.502         | 0.6649 | 500  | 0.4584          | 0.8707   |
+| 0.3239        | 1.3298 | 1000 | 0.3637          | 0.9013   |
+| 0.2329        | 1.9947 | 1500 | 0.3464          | 0.9148   |
+| 0.1768        | 2.6596 | 2000 | 0.4056          | 0.9126   |
+| 0.1315        | 3.3245 | 2500 | 0.3803          | 0.9163   |
+| 0.1383        | 3.9894 | 3000 | 0.3496          | 0.9297   |
+
+
+### 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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+  "architectures": [
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+    "3": "04Sad",
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+  "model_type": "hubert",
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+  "pooling_mode": "mean",
+  "problem_type": "single_label_classification",
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+  "torch_dtype": "float32",
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+  "vocab_size": 32
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preprocessor_config.json

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runs/Jun15_23-04-29_8b5aa78ceaf6/events.out.tfevents.1718492671.8b5aa78ceaf6.34.0

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