End of training

README.md

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+---
+license: apache-2.0
+base_model: distilbert/distilbert-base-uncased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: Job_compatibility_model
+  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. -->
+
+# Job_compatibility_model
+
+This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3397
+- Accuracy: 0.8855
+
+## 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: 32
+- eval_batch_size: 32
+- 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 | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 32   | 0.6822          | 0.5584   |
+| No log        | 2.0   | 64   | 0.5822          | 0.7009   |
+| No log        | 3.0   | 96   | 0.3782          | 0.8481   |
+| No log        | 4.0   | 128  | 0.3534          | 0.8598   |
+| No log        | 5.0   | 160  | 0.3483          | 0.8575   |
+| No log        | 6.0   | 192  | 0.3251          | 0.8715   |
+| No log        | 7.0   | 224  | 0.3170          | 0.8808   |
+| No log        | 8.0   | 256  | 0.3376          | 0.8715   |
+| No log        | 9.0   | 288  | 0.3466          | 0.8808   |
+| No log        | 10.0  | 320  | 0.3397          | 0.8855   |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.1.2
+- Datasets 2.1.0
+- Tokenizers 0.15.2

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