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update model card README.md

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@@ -3,34 +3,60 @@ 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-Beatles-Lyrics-finetuned
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  results: []
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- widget:
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- - text: "Last night in Kiev the"
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- example_title: "Kiev"
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- - text: "It hasn't rained in weeks"
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- example_title: "Rain"
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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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  tags:
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  - generated_from_trainer
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  model-index:
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+ - name: DistilGPT2-Beatles-Lyrics-finetuned-newlyrics
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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: 1.8711
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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: 10
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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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+ | 2.786 | 1.0 | 18 | 2.0410 |
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+ | 2.5587 | 2.0 | 36 | 1.9280 |
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+ | 2.3651 | 3.0 | 54 | 1.8829 |
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+ | 2.2759 | 4.0 | 72 | 1.8473 |
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+ | 2.1241 | 5.0 | 90 | 1.8237 |
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+ | 2.1018 | 6.0 | 108 | 1.8535 |
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+ | 1.8537 | 7.0 | 126 | 1.8497 |
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+ | 1.7859 | 8.0 | 144 | 1.8618 |
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+ | 1.69 | 9.0 | 162 | 1.8657 |
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+ | 1.6481 | 10.0 | 180 | 1.8711 |
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  ### Framework versions
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