Model save

README.md

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+---
+license: apache-2.0
+base_model: distilbert/distilgpt2
+tags:
+- generated_from_trainer
+model-index:
+- name: tiny-gpt2-br
+  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. -->
+
+# tiny-gpt2-br
+
+This model is a fine-tuned version of [distilbert/distilgpt2](https://huggingface.co/distilbert/distilgpt2) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.6959
+
+## 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: 0.0004
+- train_batch_size: 16
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 5.966         | 0.21  | 1000  | 5.0526          |
+| 4.8376        | 0.42  | 2000  | 4.6063          |
+| 4.5265        | 0.63  | 3000  | 4.3822          |
+| 4.3549        | 0.84  | 4000  | 4.2353          |
+| 4.1914        | 1.05  | 5000  | 4.1234          |
+| 3.9985        | 1.26  | 6000  | 4.0512          |
+| 3.9496        | 1.47  | 7000  | 3.9737          |
+| 3.9029        | 1.68  | 8000  | 3.9040          |
+| 3.8636        | 1.89  | 9000  | 3.8523          |
+| 3.7011        | 2.1   | 10000 | 3.8414          |
+| 3.5776        | 2.31  | 11000 | 3.8034          |
+| 3.5683        | 2.52  | 12000 | 3.7755          |
+| 3.5686        | 2.73  | 13000 | 3.7375          |
+| 3.5352        | 2.94  | 14000 | 3.7042          |
+| 3.3404        | 3.15  | 15000 | 3.7406          |
+| 3.2763        | 3.36  | 16000 | 3.7177          |
+| 3.2792        | 3.56  | 17000 | 3.7004          |
+| 3.2808        | 3.77  | 18000 | 3.6864          |
+| 3.2816        | 3.98  | 19000 | 3.6639          |
+| 3.0586        | 4.19  | 20000 | 3.7184          |
+| 3.0485        | 4.4   | 21000 | 3.7085          |
+| 3.0446        | 4.61  | 22000 | 3.7014          |
+| 3.0407        | 4.82  | 23000 | 3.6959          |
+
+
+### Framework versions
+
+- Transformers 4.39.1
+- Pytorch 2.0.1+cu117
+- Datasets 2.18.0
+- Tokenizers 0.15.2

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