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--- |
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base_model: gpt2 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: basho_haiku_gpt2_test |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# basho_haiku_gpt2_test |
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This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7002 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 1 |
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- eval_batch_size: 8 |
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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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- num_epochs: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.9095 | 0.11 | 100 | 0.6605 | |
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| 0.6638 | 0.22 | 200 | 0.6303 | |
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| 0.6456 | 0.33 | 300 | 0.6163 | |
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| 0.6421 | 0.45 | 400 | 0.6139 | |
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| 0.6421 | 0.56 | 500 | 0.6069 | |
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| 0.6182 | 0.67 | 600 | 0.5944 | |
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| 0.6277 | 0.78 | 700 | 0.5910 | |
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| 0.6409 | 0.89 | 800 | 0.5878 | |
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| 0.6047 | 1.0 | 900 | 0.5807 | |
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| 0.4944 | 1.11 | 1000 | 0.5847 | |
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| 0.4878 | 1.23 | 1100 | 0.5897 | |
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| 0.4706 | 1.34 | 1200 | 0.5947 | |
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| 0.4829 | 1.45 | 1300 | 0.5866 | |
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| 0.4742 | 1.56 | 1400 | 0.5875 | |
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| 0.4555 | 1.67 | 1500 | 0.5884 | |
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| 0.4713 | 1.78 | 1600 | 0.5890 | |
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| 0.4669 | 1.9 | 1700 | 0.5848 | |
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| 0.475 | 2.01 | 1800 | 0.5838 | |
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| 0.3762 | 2.12 | 1900 | 0.6123 | |
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| 0.3703 | 2.23 | 2000 | 0.6172 | |
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| 0.3772 | 2.34 | 2100 | 0.6118 | |
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| 0.3731 | 2.45 | 2200 | 0.6090 | |
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| 0.3662 | 2.56 | 2300 | 0.6151 | |
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| 0.3894 | 2.68 | 2400 | 0.6132 | |
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| 0.3663 | 2.79 | 2500 | 0.6195 | |
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| 0.368 | 2.9 | 2600 | 0.6163 | |
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| 0.3735 | 3.01 | 2700 | 0.6191 | |
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| 0.3006 | 3.12 | 2800 | 0.6518 | |
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| 0.3071 | 3.23 | 2900 | 0.6603 | |
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| 0.2898 | 3.34 | 3000 | 0.6629 | |
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| 0.2986 | 3.46 | 3100 | 0.6648 | |
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| 0.3107 | 3.57 | 3200 | 0.6558 | |
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| 0.3064 | 3.68 | 3300 | 0.6568 | |
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| 0.3052 | 3.79 | 3400 | 0.6633 | |
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| 0.3069 | 3.9 | 3500 | 0.6626 | |
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| 0.2872 | 4.01 | 3600 | 0.6641 | |
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| 0.2711 | 4.12 | 3700 | 0.6848 | |
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| 0.2584 | 4.24 | 3800 | 0.6944 | |
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| 0.2606 | 4.35 | 3900 | 0.7007 | |
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| 0.2538 | 4.46 | 4000 | 0.7029 | |
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| 0.2481 | 4.57 | 4100 | 0.7014 | |
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| 0.2466 | 4.68 | 4200 | 0.7006 | |
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| 0.25 | 4.79 | 4300 | 0.6990 | |
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| 0.2568 | 4.91 | 4400 | 0.7002 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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