Model save

README.md

@@ -0,0 +1,84 @@
+---
+library_name: transformers
+license: mit
+base_model: xlnet-large-cased
+tags:
+- generated_from_trainer
+metrics:
+- f1
+- accuracy
+model-index:
+- name: CS221-xlnet-large-cased-finetuned-augmentation
+  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. -->
+
+# CS221-xlnet-large-cased-finetuned-augmentation
+
+This model is a fine-tuned version of [xlnet-large-cased](https://huggingface.co/xlnet-large-cased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2530
+- F1: 0.9258
+- Roc Auc: 0.9412
+- Accuracy: 0.8721
+
+## 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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 100
+- num_epochs: 20
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | F1     | Roc Auc | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
+| 0.5536        | 1.0   | 360  | 0.5670          | 0.1475 | 0.5     | 0.1425   |
+| 0.4339        | 2.0   | 720  | 0.4273          | 0.5310 | 0.6840  | 0.3391   |
+| 0.3421        | 3.0   | 1080 | 0.3298          | 0.7397 | 0.8147  | 0.4927   |
+| 0.2113        | 4.0   | 1440 | 0.2764          | 0.8083 | 0.8578  | 0.6338   |
+| 0.1513        | 5.0   | 1800 | 0.2489          | 0.8476 | 0.8869  | 0.6810   |
+| 0.1097        | 6.0   | 2160 | 0.2260          | 0.8777 | 0.9021  | 0.7665   |
+| 0.0735        | 7.0   | 2520 | 0.2448          | 0.8996 | 0.9200  | 0.8026   |
+| 0.0411        | 8.0   | 2880 | 0.2378          | 0.9129 | 0.9315  | 0.8214   |
+| 0.0468        | 9.0   | 3240 | 0.2554          | 0.8990 | 0.9316  | 0.8235   |
+| 0.0253        | 10.0  | 3600 | 0.2470          | 0.9084 | 0.9306  | 0.8464   |
+| 0.021         | 11.0  | 3960 | 0.2412          | 0.9183 | 0.9388  | 0.8582   |
+| 0.0125        | 12.0  | 4320 | 0.2440          | 0.9217 | 0.9383  | 0.8631   |
+| 0.002         | 13.0  | 4680 | 0.2552          | 0.9232 | 0.9391  | 0.8673   |
+| 0.0038        | 14.0  | 5040 | 0.2489          | 0.9237 | 0.9412  | 0.8666   |
+| 0.0064        | 15.0  | 5400 | 0.2522          | 0.9234 | 0.9407  | 0.8659   |
+| 0.0017        | 16.0  | 5760 | 0.2466          | 0.9254 | 0.9410  | 0.8728   |
+| 0.0009        | 17.0  | 6120 | 0.2505          | 0.9280 | 0.9437  | 0.8749   |
+| 0.0013        | 18.0  | 6480 | 0.2529          | 0.9272 | 0.9420  | 0.8749   |
+| 0.002         | 19.0  | 6840 | 0.2530          | 0.9258 | 0.9412  | 0.8721   |
+| 0.001         | 20.0  | 7200 | 0.2530          | 0.9258 | 0.9412  | 0.8721   |
+
+
+### Framework versions
+
+- Transformers 4.47.0
+- Pytorch 2.5.1+cu121
+- Datasets 3.2.0
+- Tokenizers 0.21.0

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:4ff61c58486506d3459ce535b59fee7523ee0a0d34ade452a5ac8814a76abcde
+oid sha256:f2787a5c9f8299a69a8cf0518f38d42e8dc6cafc26b26a82e18cafe7d28fef04
 size 1445339812