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math_english_to_latex
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.8028
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: 5e-05
- train_batch_size: 4
- eval_batch_size: 20
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.3664 | 1.0 | 10 | 1.6544 |
| 1.1415 | 2.0 | 20 | 0.9639 |
| 0.8763 | 3.0 | 30 | 0.9328 |
| 0.7064 | 4.0 | 40 | 0.8390 |
| 0.6468 | 5.0 | 50 | 0.8028 |
CONVERSION_PROMPT = 'LCT\n' # LaTeX conversion task
CONVERSION_TOKEN = 'LaTeX:'
loaded_model = GPT2LMHeadModel.from_pretrained('Andyrasika/math_english_to_latex')
latex_generator = pipeline('text-generation', model=loaded_model, tokenizer=tokenizer)
text_sample = 'r of x is sum from 0 to x of x squared'
conversion_text_sample = f'{CONVERSION_PROMPT}English: {text_sample}\n{CONVERSION_TOKEN}'
print(latex_generator(
conversion_text_sample, num_beams=5, early_stopping=True, temperature=0.7,
max_length=len(tokenizer.encode(conversion_text_sample)) + 20
)[0]['generated_text'])
Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
