Model save

README.md

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+---
+tags:
+- generated_from_trainer
+metrics:
+- recall
+- precision
+- f1
+model-index:
+- name: checkpoint-97-2ep3bsfrmulti2
+  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. -->
+
+# checkpoint-97-2ep3bsfrmulti2
+
+This model was trained from scratch on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2816
+- Recall: 0.9677
+- Precision: 0.8108
+- F1: 0.8824
+- Roc Auc: 0.5206
+
+## 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: 3
+- eval_batch_size: 3
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- training_steps: 194
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Recall | Precision | F1     | Roc Auc |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:---------:|:------:|:-------:|
+| 0.4534        | 0.5   | 97   | 0.8642          | 1.0    | 0.6458    | 0.7848 | 0.6804  |
+| 0.0011        | 1.5   | 194  | 0.2816          | 0.9677 | 0.8108    | 0.8824 | 0.5206  |
+
+
+### Framework versions
+
+- Transformers 4.37.2
+- Pytorch 2.2.0+cu118
+- Datasets 2.17.0
+- Tokenizers 0.15.2