End of training

README.md

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+---
+license: apache-2.0
+base_model: mrm8488/distilroberta-finetuned-financial-news-sentiment-analysis
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: distilroberta-finetuned-financial-news-sentiment-analysis-clickbait-task1-20-epoch-post
+  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. -->
+
+# distilroberta-finetuned-financial-news-sentiment-analysis-clickbait-task1-20-epoch-post
+
+This model is a fine-tuned version of [mrm8488/distilroberta-finetuned-financial-news-sentiment-analysis](https://huggingface.co/mrm8488/distilroberta-finetuned-financial-news-sentiment-analysis) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.7757
+- Accuracy: 0.6775
+
+## 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: 20
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 200  | 0.8214          | 0.6175   |
+| No log        | 2.0   | 400  | 0.7636          | 0.675    |
+| 0.8421        | 3.0   | 600  | 0.7821          | 0.705    |
+| 0.8421        | 4.0   | 800  | 0.8773          | 0.68     |
+| 0.4325        | 5.0   | 1000 | 0.9866          | 0.6775   |
+| 0.4325        | 6.0   | 1200 | 1.1958          | 0.6825   |
+| 0.4325        | 7.0   | 1400 | 1.3580          | 0.6775   |
+| 0.1921        | 8.0   | 1600 | 1.7104          | 0.7      |
+| 0.1921        | 9.0   | 1800 | 1.9208          | 0.69     |
+| 0.099         | 10.0  | 2000 | 2.1611          | 0.6675   |
+| 0.099         | 11.0  | 2200 | 2.2038          | 0.68     |
+| 0.099         | 12.0  | 2400 | 2.3109          | 0.68     |
+| 0.0475        | 13.0  | 2600 | 2.4423          | 0.69     |
+| 0.0475        | 14.0  | 2800 | 2.5835          | 0.6825   |
+| 0.0301        | 15.0  | 3000 | 2.6523          | 0.6625   |
+| 0.0301        | 16.0  | 3200 | 2.6894          | 0.675    |
+| 0.0301        | 17.0  | 3400 | 2.6711          | 0.6875   |
+| 0.0171        | 18.0  | 3600 | 2.7655          | 0.6725   |
+| 0.0171        | 19.0  | 3800 | 2.7620          | 0.68     |
+| 0.0125        | 20.0  | 4000 | 2.7757          | 0.6775   |
+
+
+### Framework versions
+
+- Transformers 4.44.0.dev0
+- Pytorch 2.4.0+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

model.safetensors

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