Model save

README.md

@@ -0,0 +1,64 @@
+---
+base_model: microsoft/wavlm-base-plus
+tags:
+- generated_from_trainer
+metrics:
+- f1
+model-index:
+- name: wavlm_handcrafted_feat3
+  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_handcrafted_feat3
+
+This model is a fine-tuned version of [microsoft/wavlm-base-plus](https://huggingface.co/microsoft/wavlm-base-plus) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6332
+- F1: 0.8628
+
+## 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: 3
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | F1     |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|
+| 0.3205        | 1.0   | 3610  | 0.6245          | 0.8479 |
+| 0.2552        | 2.0   | 7220  | 0.5339          | 0.8624 |
+| 0.222         | 3.0   | 10830 | 0.6332          | 0.8628 |
+
+
+### Framework versions
+
+- Transformers 4.38.1
+- Pytorch 2.2.0+cu121
+- Datasets 2.17.1
+- Tokenizers 0.15.2