update model card README.md

README.md

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+---
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: wavLM-base-UTCN_114k
+  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. -->
+
+# wavLM-base-UTCN_114k
+
+This model is a fine-tuned version of [microsoft/wavLM-base](https://huggingface.co/microsoft/wavLM-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2510
+- Accuracy: 0.9693
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 0.0003        | 1.0   | 3587  | 0.2007          | 0.9656   |
+| 0.0001        | 2.0   | 7174  | 0.4933          | 0.9359   |
+| 0.0001        | 3.0   | 10761 | 0.4020          | 0.9433   |
+| 0.0205        | 4.0   | 14348 | 0.2510          | 0.9693   |
+| 0.0003        | 5.0   | 17935 | 0.6599          | 0.9196   |
+
+
+### Framework versions
+
+- Transformers 4.30.0
+- Pytorch 2.3.1+cu121
+- Datasets 2.20.0
+- Tokenizers 0.13.3