End of training

README.md

@@ -0,0 +1,69 @@
+---
+license: apache-2.0
+base_model: distilbert/distilroberta-base
+tags:
+- generated_from_trainer
+metrics:
+- f1
+model-index:
+- name: song-coherency-classifier
+  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. -->
+
+# song-coherency-classifier
+
+This model is a fine-tuned version of [distilbert/distilroberta-base](https://huggingface.co/distilbert/distilroberta-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1299
+- F1: [0.9763779527559054, 0.9757412398921832]
+
+## 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: 2e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | F1                                       |
+|:-------------:|:-----:|:----:|:---------------:|:----------------------------------------:|
+| No log        | 1.0   | 190  | 0.2172          | [0.9460154241645244, 0.9421487603305784] |
+| No log        | 2.0   | 380  | 0.2073          | [0.9487179487179487, 0.9447513812154695] |
+| 0.2175        | 3.0   | 570  | 0.2125          | [0.9487179487179487, 0.9447513812154695] |
+| 0.2175        | 4.0   | 760  | 0.1431          | [0.9649595687331537, 0.9658792650918635] |
+| 0.2175        | 5.0   | 950  | 0.1467          | [0.9711286089238844, 0.9703504043126685] |
+| 0.131         | 6.0   | 1140 | 0.1400          | [0.9711286089238844, 0.9703504043126685] |
+| 0.131         | 7.0   | 1330 | 0.1238          | [0.9736842105263158, 0.9731182795698924] |
+| 0.0835        | 8.0   | 1520 | 0.1317          | [0.9736842105263158, 0.9731182795698924] |
+| 0.0835        | 9.0   | 1710 | 0.1390          | [0.9738219895287958, 0.972972972972973]  |
+| 0.0835        | 10.0  | 1900 | 0.1299          | [0.9763779527559054, 0.9757412398921832] |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:95f42e4698dd1402c9f8a96074d2da13cd37cca9730004704292fe2f0a469d2c
+oid sha256:b9730ed21661680b9be3e7cde422fca661eec4086403124ad5a53777c82ebe21
 size 328492280

runs/Mar31_19-45-41_8d65e2ad46e7/events.out.tfevents.1711914350.8d65e2ad46e7.676.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:67348a71329dd95e23cd86e3b7b153011f1d990b223dd42b0a784ae869afc9a4
-size 7805
+oid sha256:2b500f0c60456222db70a6068be7d99376f5d517a24dd54e6ed0b9d1f44f3899
+size 8430