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  1. README.md +6 -25
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@@ -4,10 +4,6 @@ license: mit
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  base_model: gpt2
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  tags:
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  - generated_from_trainer
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- datasets:
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- - rahul7star/hindi-poetry
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- language:
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- - hi
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  model-index:
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  - name: hindi_poetry_language_model
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  results: []
@@ -18,14 +14,13 @@ should probably proofread and complete it, then remove this comment. -->
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  # hindi_poetry_language_model
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- This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an known dataset.
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- https://huggingface.co/datasets/rahul7star/hindi-poetry
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  It achieves the following results on the evaluation set:
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- - Loss: 0.4038
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  ## Model description
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- Model is trained based on small set https://huggingface.co/datasets/rahul7star/hindi-poetry
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  ## Intended uses & limitations
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@@ -52,9 +47,9 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | No log | 1.0 | 3 | 0.4765 |
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- | No log | 2.0 | 6 | 0.4183 |
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- | No log | 3.0 | 9 | 0.4038 |
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  ### Framework versions
@@ -63,17 +58,3 @@ The following hyperparameters were used during training:
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  - Pytorch 2.5.1+cu121
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  - Datasets 3.2.0
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  - Tokenizers 0.21.0
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- -
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- ### Citation
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-
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- ```
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- @misc{hindipoetry,
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- author = {Rahul7star},
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- title = {Hindi Poetry},
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- year = {2025},
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- publisher = {Hugging Face},
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- journal = {Hugging Face repository},
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- url = {\url{https://huggingface.co/spaces/rahul7star}}
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- }
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-
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- ```
 
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  base_model: gpt2
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  tags:
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  - generated_from_trainer
 
 
 
 
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  model-index:
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  - name: hindi_poetry_language_model
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  results: []
 
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  # hindi_poetry_language_model
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+ This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
 
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0081
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  ## Model description
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+ More information needed
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  ## Intended uses & limitations
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | No log | 1.0 | 3 | 3.2484 |
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+ | No log | 2.0 | 6 | 0.0089 |
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+ | No log | 3.0 | 9 | 0.0081 |
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  ### Framework versions
 
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  - Pytorch 2.5.1+cu121
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  - Datasets 3.2.0
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  - Tokenizers 0.21.0