Model save

README.md

@@ -0,0 +1,83 @@
+---
+library_name: transformers
+license: mit
+base_model: FacebookAI/roberta-large
+tags:
+- generated_from_trainer
+metrics:
+- f1
+- accuracy
+model-index:
+- name: roberta-large-finetuned-augmentation-LUNAR
+  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. -->
+
+# roberta-large-finetuned-augmentation-LUNAR
+
+This model is a fine-tuned version of [FacebookAI/roberta-large](https://huggingface.co/FacebookAI/roberta-large) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6143
+- F1: 0.7893
+- Roc Auc: 0.8400
+- Accuracy: 0.5722
+
+## 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: cosine
+- lr_scheduler_warmup_steps: 100
+- num_epochs: 20
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | F1     | Roc Auc | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
+| 0.4606        | 1.0   | 179  | 0.3928          | 0.5956 | 0.7155  | 0.4320   |
+| 0.3171        | 2.0   | 358  | 0.3380          | 0.7156 | 0.7768  | 0.4727   |
+| 0.2294        | 3.0   | 537  | 0.3398          | 0.7321 | 0.7927  | 0.5077   |
+| 0.1528        | 4.0   | 716  | 0.3813          | 0.7577 | 0.8113  | 0.5175   |
+| 0.0887        | 5.0   | 895  | 0.4250          | 0.7669 | 0.8306  | 0.5175   |
+| 0.0583        | 6.0   | 1074 | 0.4355          | 0.7686 | 0.8278  | 0.5273   |
+| 0.0448        | 7.0   | 1253 | 0.5045          | 0.7498 | 0.8029  | 0.5316   |
+| 0.0298        | 8.0   | 1432 | 0.4862          | 0.7809 | 0.8321  | 0.5554   |
+| 0.0227        | 9.0   | 1611 | 0.5282          | 0.7793 | 0.8248  | 0.5484   |
+| 0.0111        | 10.0  | 1790 | 0.5567          | 0.7787 | 0.8340  | 0.5428   |
+| 0.0082        | 11.0  | 1969 | 0.5762          | 0.7845 | 0.8408  | 0.5498   |
+| 0.0055        | 12.0  | 2148 | 0.5771          | 0.7796 | 0.8325  | 0.5582   |
+| 0.0032        | 13.0  | 2327 | 0.5884          | 0.7865 | 0.8336  | 0.5610   |
+| 0.003         | 14.0  | 2506 | 0.6064          | 0.7901 | 0.8380  | 0.5568   |
+| 0.0024        | 15.0  | 2685 | 0.6061          | 0.7909 | 0.8390  | 0.5680   |
+| 0.002         | 16.0  | 2864 | 0.6041          | 0.7878 | 0.8399  | 0.5736   |
+| 0.0016        | 17.0  | 3043 | 0.6129          | 0.7848 | 0.8346  | 0.5596   |
+| 0.0014        | 18.0  | 3222 | 0.6129          | 0.7860 | 0.8366  | 0.5694   |
+| 0.0038        | 19.0  | 3401 | 0.6143          | 0.7893 | 0.8400  | 0.5722   |
+
+
+### Framework versions
+
+- Transformers 4.45.1
+- Pytorch 2.4.0
+- Datasets 3.0.1
+- Tokenizers 0.20.0

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:2f08f41514a6dbe4e64d3de660c3f9596094ec1b7bcb620b1c9b9616708b7ddb
+oid sha256:7c2bb7253f239f1992f389db0f3a3d20aff9ddf4c7eede81439383c558b71965
 size 1421507716