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