Final model after training

README.md

@@ -0,0 +1,65 @@
+---
+library_name: transformers
+tags:
+- generated_from_trainer
+model-index:
+- name: pyannote_2_finetuning
+  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. -->
+
+# pyannote_2_finetuning
+
+This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1327
+- Model Preparation Time: 0.004
+- Der: 0.0499
+- False Alarm: 0.0304
+- Missed Detection: 0.0094
+- Confusion: 0.0101
+
+## 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: 0.001
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Model Preparation Time | Der    | False Alarm | Missed Detection | Confusion |
+|:-------------:|:-----:|:----:|:---------------:|:----------------------:|:------:|:-----------:|:----------------:|:---------:|
+| No log        | 1.0   | 21   | 0.1258          | 0.004                  | 0.0486 | 0.0289      | 0.0104           | 0.0093    |
+| 0.2277        | 2.0   | 42   | 0.1355          | 0.004                  | 0.0509 | 0.0300      | 0.0097           | 0.0112    |
+| 0.1872        | 3.0   | 63   | 0.1327          | 0.004                  | 0.0494 | 0.0304      | 0.0095           | 0.0095    |
+| 0.1649        | 4.0   | 84   | 0.1313          | 0.004                  | 0.0492 | 0.0303      | 0.0094           | 0.0095    |
+| 0.1535        | 5.0   | 105  | 0.1327          | 0.004                  | 0.0499 | 0.0304      | 0.0094           | 0.0101    |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.5.0+cu121
+- Datasets 3.1.0
+- Tokenizers 0.19.1

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:09ab175f5b31c02ef945d967bbbf95094e07ae1d4f2d06db70702dfeeb6acedd
+oid sha256:154f35b8021895567d2bb8c79847979ccad9061a9d3829624d914a8cc6f97c30
 size 5899124