End of training

README.md

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+---
+license: apache-2.0
+base_model: bert-base-cased
+tags:
+- generated_from_trainer
+datasets:
+- wikitext
+model-index:
+- name: bert-base-cased-wikitext2
+  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. -->
+
+# bert-base-cased-wikitext2
+
+This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the wikitext dataset.
+It achieves the following results on the evaluation set:
+- Loss: 6.8630
+
+## 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: 3.0
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 7.0876        | 1.0   | 2346 | 7.0208          |
+| 6.9111        | 2.0   | 4692 | 6.8997          |
+| 6.8649        | 3.0   | 7038 | 6.8515          |
+
+
+### Framework versions
+
+- Transformers 4.32.0.dev0
+- Pytorch 2.0.1+cpu
+- Datasets 2.12.0
+- Tokenizers 0.13.2

generation_config.json

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+{
+  "_from_model_config": true,
+  "pad_token_id": 0,
+  "transformers_version": "4.32.0.dev0"
+}

pytorch_model.bin

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