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-base-ls960-fsc-h
+  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-base-ls960-fsc-h
+
+This model is a fine-tuned version of [facebook/hubert-base-ls960](https://huggingface.co/facebook/hubert-base-ls960) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.7214
+- Accuracy: 0.2557
+
+## 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: 0.0005
+- train_batch_size: 48
+- eval_batch_size: 48
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 192
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 25
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
+|:-------------:|:------:|:----:|:---------------:|:--------:|
+| No log        | 0.9959 | 120  | 1.7214          | 0.2557   |
+| No log        | 2.0    | 241  | 1.7244          | 0.2557   |
+| No log        | 2.9959 | 361  | 1.7198          | 0.2383   |
+| No log        | 4.0    | 482  | 1.7200          | 0.2557   |
+| No log        | 4.9959 | 602  | 1.7183          | 0.2557   |
+| No log        | 6.0    | 723  | 1.7205          | 0.2557   |
+
+
+### Framework versions
+
+- Transformers 4.43.3
+- Pytorch 2.2.2+cu121
+- Datasets 2.18.0
+- Tokenizers 0.19.1

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