End of training

README.md

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+---
+tags:
+- generated_from_trainer
+datasets:
+- eli5_category
+model-index:
+- name: custom_bert
+  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. -->
+
+# custom_bert
+
+This model is a fine-tuned version of [](https://huggingface.co/) on the eli5_category dataset.
+It achieves the following results on the evaluation set:
+- Loss: 6.7038
+
+## 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
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 7.2917        | 1.0   | 1326 | 6.9082          |
+| 6.8038        | 2.0   | 2652 | 6.8164          |
+| 6.7413        | 3.0   | 3978 | 6.7508          |
+| 6.6956        | 4.0   | 5304 | 6.7371          |
+| 6.6856        | 5.0   | 6630 | 6.7080          |
+
+
+### Framework versions
+
+- Transformers 4.42.4
+- Pytorch 2.3.1+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

generation_config.json

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+{
+  "_from_model_config": true,
+  "pad_token_id": 0,
+  "transformers_version": "4.42.4"
+}

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