End of training

README.md

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+---
+license: mit
+base_model: xlnet-base-cased
+tags:
+- generated_from_trainer
+model-index:
+- name: XLnet-cased-AS-HU-f1-score
+  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. -->
+
+# XLnet-cased-AS-HU-f1-score
+
+This model is a fine-tuned version of [xlnet-base-cased](https://huggingface.co/xlnet-base-cased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5247
+- F1-score: 0.7609
+
+## 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: 5e-05
+- train_batch_size: 16
+- eval_batch_size: 8
+- 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-score |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.7055        | 1.0   | 64   | 0.6796          | 0.3697   |
+| 0.6944        | 2.0   | 128  | 0.6786          | 0.3697   |
+| 0.7           | 3.0   | 192  | 0.6800          | 0.3697   |
+| 0.6818        | 4.0   | 256  | 0.6797          | 0.3697   |
+| 0.6848        | 5.0   | 320  | 0.6902          | 0.3697   |
+| 0.6898        | 6.0   | 384  | 0.6777          | 0.3697   |
+| 0.6877        | 7.0   | 448  | 0.6648          | 0.3697   |
+| 0.6805        | 8.0   | 512  | 0.6313          | 0.3697   |
+| 0.5873        | 9.0   | 576  | 0.6145          | 0.6381   |
+| 0.4984        | 10.0  | 640  | 0.5247          | 0.7609   |
+
+
+### Framework versions
+
+- Transformers 4.41.1
+- Pytorch 2.0.1+cu117
+- Datasets 2.19.1
+- Tokenizers 0.19.1