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--- |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: gpt2-medium-Converse_DS-WoW_Ep-10_Bs-32 |
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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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# gpt2-medium-Converse_DS-WoW_Ep-10_Bs-32 |
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This model is a fine-tuned version of [gpt2-medium](https://huggingface.co/gpt2-medium) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 4.3281 |
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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: 2e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 64 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_ratio: 0.05 |
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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 34.991 | 1.0 | 837 | 14.8359 | |
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| 12.2881 | 2.0 | 1674 | 9.375 | |
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| 8.5071 | 3.0 | 2511 | 7.2148 | |
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| 7.6031 | 4.0 | 3348 | 6.1758 | |
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| 6.4808 | 5.0 | 4185 | 5.5820 | |
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| 5.8562 | 6.0 | 5022 | 5.0977 | |
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| 5.6094 | 7.0 | 5859 | 4.8203 | |
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| 5.2591 | 8.0 | 6696 | 4.5977 | |
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| 5.0031 | 9.0 | 7533 | 4.4219 | |
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| 4.8837 | 10.0 | 8370 | 4.3281 | |
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### Framework versions |
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- Transformers 4.16.1 |
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- Pytorch 1.10.0+cu111 |
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- Tokenizers 0.11.0 |
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