End of training

README.md

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+---
+license: mit
+base_model: FacebookAI/roberta-base
+tags:
+- generated_from_trainer
+metrics:
+- f1
+model-index:
+- name: song-coherency-classifier-v2
+  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-v2
+
+This model is a fine-tuned version of [FacebookAI/roberta-base](https://huggingface.co/FacebookAI/roberta-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1341
+- F1: [0.9784946236559139, 0.9789473684210526]
+
+## 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  | 0.0924          | [0.9760000000000001, 0.9761273209549072] |
+| No log        | 2.0   | 380  | 0.0926          | [0.9754768392370572, 0.9766233766233766] |
+| 0.1717        | 3.0   | 570  | 0.0825          | [0.9810298102981029, 0.9817232375979111] |
+| 0.1717        | 4.0   | 760  | 0.0892          | [0.9813333333333334, 0.9814323607427056] |
+| 0.1717        | 5.0   | 950  | 0.0788          | [0.9838709677419355, 0.9842105263157895] |
+| 0.0737        | 6.0   | 1140 | 0.1032          | [0.9813333333333334, 0.9814323607427056] |
+| 0.0737        | 7.0   | 1330 | 0.1212          | [0.9783783783783783, 0.9790575916230367] |
+| 0.0538        | 8.0   | 1520 | 0.1010          | [0.9786096256684492, 0.9788359788359788] |
+| 0.0538        | 9.0   | 1710 | 0.1186          | [0.9811320754716981, 0.9816272965879265] |
+| 0.0538        | 10.0  | 1900 | 0.1341          | [0.9784946236559139, 0.9789473684210526] |
+
+
+### Framework versions
+
+- Transformers 4.40.0
+- Pytorch 2.2.1+cu121
+- Datasets 2.19.0
+- Tokenizers 0.19.1

model.safetensors

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