End of training
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README.md
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---
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license: apache-2.0
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tags:
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- generated_from_trainer
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base_model: distilbert/distilgpt2
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model-index:
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- name: tiny-gpt2-br
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results: []
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# tiny-gpt2-br
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This model is a fine-tuned version of [distilbert/distilgpt2](https://huggingface.co/distilbert/distilgpt2) on
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It achieves the following results on the evaluation set:
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.
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- train_batch_size:
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- eval_batch_size:
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 500
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:-----:|:---------------:|
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| 5.7274 | 0.21 | 1000 | 4.9308 |
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| 4.7191 | 0.42 | 2000 | 4.5347 |
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| 4.4579 | 0.63 | 3000 | 4.3432 |
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| 4.2769 | 0.84 | 4000 | 4.1893 |
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| 4.1086 | 1.05 | 5000 | 4.0861 |
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| 3.9327 | 1.26 | 6000 | 3.9992 |
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| 3.8812 | 1.47 | 7000 | 3.9216 |
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| 3.8298 | 1.68 | 8000 | 3.8648 |
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| 3.7785 | 1.89 | 9000 | 3.8126 |
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| 3.6099 | 2.1 | 10000 | 3.7931 |
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| 3.471 | 2.31 | 11000 | 3.7539 |
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| 3.4651 | 2.52 | 12000 | 3.7141 |
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| 3.4451 | 2.73 | 13000 | 3.6754 |
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| 3.4251 | 2.94 | 14000 | 3.6327 |
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| 3.1855 | 3.15 | 15000 | 3.6779 |
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| 3.0962 | 3.36 | 16000 | 3.6757 |
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| 3.0971 | 3.56 | 17000 | 3.6437 |
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| 3.0816 | 3.77 | 18000 | 3.6287 |
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| 3.0582 | 3.98 | 19000 | 3.6213 |
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### Framework versions
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---
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license: apache-2.0
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base_model: distilbert/distilgpt2
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tags:
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- generated_from_trainer
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model-index:
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- name: tiny-gpt2-br
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results: []
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# tiny-gpt2-br
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This model is a fine-tuned version of [distilbert/distilgpt2](https://huggingface.co/distilbert/distilgpt2) on the None dataset.
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It achieves the following results on the evaluation set:
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- eval_loss: 3.2672
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- eval_runtime: 134.3513
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- eval_samples_per_second: 259.023
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- eval_steps_per_second: 16.189
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- epoch: 3.42
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- step: 134000
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0008
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- train_batch_size: 8
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- eval_batch_size: 16
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 500
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- num_epochs: 4
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### Framework versions
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model.safetensors
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