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--- |
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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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model-index: |
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- name: hindi_gpt2 |
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results: [] |
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widget: |
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- text: "अपने अनुप्रयोग को पहुंचनीयता व्यायाम" |
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- text: "जनतंत्र की सफलता केवल इस बात से नहीं हो सकती है कि हर" |
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- text: "अगर इसके बाद भी वे फैसले पर कायम रहते हैं और" |
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- text: "मामले का खुलासा होने के बाद" |
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- text: "My name is Julien and I like to" |
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- text: "My name is Thomas and my main" |
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inference: |
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parameters: |
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max_length: 200 |
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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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# hindi_gpt2 |
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This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.9187 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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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: 0.0005 |
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- train_batch_size: 40 |
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- eval_batch_size: 40 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 160 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_steps: 400 |
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- num_epochs: 1 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 4.694 | 0.18 | 400 | 2.7361 | |
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| 2.3952 | 0.35 | 800 | 2.1608 | |
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| 2.1311 | 0.53 | 1200 | 2.0237 | |
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| 2.0282 | 0.71 | 1600 | 1.9518 | |
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| 1.9731 | 0.89 | 2000 | 1.9187 | |
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### Framework versions |
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- Transformers 4.31.0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.2 |
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- Tokenizers 0.13.3 |
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