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update model card README.md
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README.md
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---
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-
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- en
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tags:
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- text-generation
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- generated_from_trainer
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datasets:
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- Langame/starter
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license: apache-2.0
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model-index:
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- name: distilgpt2-starter
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results: []
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widget:
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- text: "ice breaker,travel ###"
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example_title: "Ice breaker"
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- text: "philosophy,science,physic,mathematic,biology ###"
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example_title: "Scientific"
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- text: "big talk,deep talk ###"
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example_title: "Big talk"
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---
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# Generate conversation starters, from [Langame](https://langa.me) :p
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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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# distilgpt2-starter
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This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on
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It achieves the following results on the evaluation set:
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- Loss:
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## Model description
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- total_train_batch_size: 8
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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:
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### Training results
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### Framework versions
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- Transformers 4.
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- Pytorch 1.10.0+cu111
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- Datasets 1.18.1
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- Tokenizers 0.11.0
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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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model-index:
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- name: distilgpt2-starter
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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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# distilgpt2-starter
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This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 5.9961
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## Model description
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- total_train_batch_size: 8
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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: 500.0
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| No log | 66.67 | 200 | 3.6445 |
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| No log | 133.33 | 400 | 4.5703 |
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| 1.0101 | 200.0 | 600 | 5.2109 |
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| 1.0101 | 266.67 | 800 | 5.5430 |
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| 0.0681 | 333.33 | 1000 | 5.7227 |
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| 0.0681 | 400.0 | 1200 | 5.8672 |
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| 0.0681 | 466.67 | 1400 | 5.9961 |
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### Framework versions
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- Transformers 4.17.0.dev0
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- Pytorch 1.10.0+cu111
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- Datasets 1.18.1
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- Tokenizers 0.11.0
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