Model save

README.md

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+---
+license: apache-2.0
+base_model: google-bert/bert-base-cased
+tags:
+- generated_from_trainer
+metrics:
+- f1
+- recall
+model-index:
+- name: PAN-2024-transformer-base_bert-base-cased_K3
+  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. -->
+
+# PAN-2024-transformer-base_bert-base-cased_K3
+
+This model is a fine-tuned version of [google-bert/bert-base-cased](https://huggingface.co/google-bert/bert-base-cased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5546
+- F1 Macro: 1.0
+- F1: 1.0
+- F1 Neg: 1.0
+- Acc: 1.0
+- Prec: 1.0
+- Recall: 1.0
+- Mcc: 0.0
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- distributed_type: multi-GPU
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | F1 Macro | F1  | F1 Neg | Acc | Prec | Recall | Mcc |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---:|:------:|:---:|:----:|:------:|:---:|
+| No log        | 1.0   | 1    | 0.5546          | 1.0      | 1.0 | 1.0    | 1.0 | 1.0  | 1.0    | 0.0 |
+| No log        | 2.0   | 2    | 0.4658          | 1.0      | 1.0 | 1.0    | 1.0 | 1.0  | 1.0    | 0.0 |
+| No log        | 3.0   | 3    | 0.4160          | 1.0      | 1.0 | 1.0    | 1.0 | 1.0  | 1.0    | 0.0 |
+
+
+### Framework versions
+
+- Transformers 4.37.2
+- Pytorch 2.2.0+cu121
+- Datasets 2.16.1
+- Tokenizers 0.15.2