End of training

README.md

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+---
+license: apache-2.0
+base_model: bert-base-uncased
+tags:
+- generated_from_trainer
+datasets:
+- wikitext
+model-index:
+- name: run_opt
+  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. -->
+
+# run_opt
+
+This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the wikitext dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2727
+
+## 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: 0.0001
+- train_batch_size: 64
+- eval_batch_size: 64
+- seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 512
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 100
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 9.1471        | 0.55  | 50   | 7.9703          |
+| 7.1714        | 1.1   | 100  | 6.6558          |
+| 6.4707        | 1.65  | 150  | 6.2924          |
+| 6.072         | 2.19  | 200  | 5.8048          |
+| 5.1389        | 2.74  | 250  | 3.8826          |
+| 3.1897        | 3.29  | 300  | 2.3133          |
+| 1.9697        | 3.84  | 350  | 1.4230          |
+| 1.2783        | 4.39  | 400  | 0.9488          |
+| 0.8952        | 4.94  | 450  | 0.6810          |
+| 0.6593        | 5.49  | 500  | 0.5228          |
+| 0.5278        | 6.04  | 550  | 0.4249          |
+| 0.4339        | 6.58  | 600  | 0.3630          |
+| 0.3809        | 7.13  | 650  | 0.3237          |
+| 0.3443        | 7.68  | 700  | 0.2991          |
+| 0.3212        | 8.23  | 750  | 0.2843          |
+| 0.3094        | 8.78  | 800  | 0.2765          |
+| 0.3033        | 9.33  | 850  | 0.2734          |
+| 0.3           | 9.88  | 900  | 0.2727          |
+
+
+### Framework versions
+
+- Transformers 4.33.1
+- Pytorch 1.12.1
+- Datasets 2.14.6
+- Tokenizers 0.13.3

generation_config.json

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+{
+  "_from_model_config": true,
+  "pad_token_id": 0,
+  "transformers_version": "4.33.1"
+}