AlekseyKorshuk commited on
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huggingartists

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README.md CHANGED
@@ -45,15 +45,15 @@ from datasets import load_dataset
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  dataset = load_dataset("huggingartists/egor-letov")
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  ```
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- [Explore the data](https://wandb.ai/huggingartists/huggingartists/runs/1turt8ph/artifacts), which is tracked with [W&B artifacts](https://docs.wandb.com/artifacts) at every step of the pipeline.
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  ## Training procedure
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  The model is based on a pre-trained [GPT-2](https://huggingface.co/gpt2) which is fine-tuned on Егор Летов (Egor Letov)'s lyrics.
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- Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/huggingartists/huggingartists/runs/797vcvtd) for full transparency and reproducibility.
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- At the end of training, [the final model](https://wandb.ai/huggingartists/huggingartists/runs/797vcvtd/artifacts) is logged and versioned.
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  ## How to use
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  dataset = load_dataset("huggingartists/egor-letov")
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  ```
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+ [Explore the data](https://wandb.ai/huggingartists/huggingartists/runs/1omrcegx/artifacts), which is tracked with [W&B artifacts](https://docs.wandb.com/artifacts) at every step of the pipeline.
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  ## Training procedure
51
 
52
  The model is based on a pre-trained [GPT-2](https://huggingface.co/gpt2) which is fine-tuned on Егор Летов (Egor Letov)'s lyrics.
53
 
54
+ Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/huggingartists/huggingartists/runs/3lk60u9h) for full transparency and reproducibility.
55
 
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+ At the end of training, [the final model](https://wandb.ai/huggingartists/huggingartists/runs/3lk60u9h/artifacts) is logged and versioned.
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  ## How to use
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