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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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-
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  # DistilGPT2-Beatles-Lyrics-finetuned-newlyrics
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- This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on the None dataset.
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- It achieves the following results on the evaluation set:
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- - Loss: 1.7756
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-
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- ## Model description
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-
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- More information needed
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-
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- ## Intended uses & limitations
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-
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- More information needed
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-
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- ## Training and evaluation data
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-
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- More information needed
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-
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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: 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: 100
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  - num_epochs: 5
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- ### Training results
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-
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- | Training Loss | Epoch | Step | Validation Loss |
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- |:-------------:|:-----:|:----:|:---------------:|
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- | 1.7635 | 1.0 | 18 | 1.7756 |
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- | 1.7443 | 2.0 | 36 | 1.7756 |
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- | 1.7414 | 3.0 | 54 | 1.7756 |
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- | 1.7311 | 4.0 | 72 | 1.7756 |
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- | 1.7385 | 5.0 | 90 | 1.7756 |
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  ### Framework versions
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  results: []
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  ---
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  # DistilGPT2-Beatles-Lyrics-finetuned-newlyrics
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+ This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on the [Beatles lyrics dataset](https://huggingface.co/datasets/cmotions/Beatles_lyrics).
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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: 4
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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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  - lr_scheduler_warmup_steps: 100
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  - num_epochs: 5
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+ ## Intended uses & limitations
 
 
 
 
 
 
 
 
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+ Model can be used to produce Beatles like text generation from an input prompt.
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  ### Framework versions
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