Model Card for Model ID
<!--the model transmit the english words to nepali. -->
Model Details
Model Description
<!-- This is the model which was fine tuned on t5-small model with 10000 lines of datasets of nepali and english sentence. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by: [Pradip Pokhrel]
- Funded by [optional]: [More Information Needed]
- Shared by [optional]: [More Information Needed]
- Model type: [transformer]
- Language(s) (NLP): [nepali]
- License: [More Information Needed]
- Finetuned from model [optional]: [t5-small]
Model Sources [optional]
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Uses
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Direct Use
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Downstream Use [optional]
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Out-of-Scope Use
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Bias, Risks, and Limitations
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Recommendations
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
How to Get Started with the Model
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Training Details
Training Data
<!-- https://www.kaggle.com/datasets/pradippokhrel45/english-nepali-sentence -->
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Training Procedure
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Preprocessing [optional]
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Training Hyperparameters
- Training regime: [More Information Needed] <!--eval_strategy="epoch",
save_strategy="epoch",
per_device_train_batch_size=8,
gradient_accumulation_steps=4,
num_train_epochs=3,
metric_for_best_model="eval_loss" -->
Speeds, Sizes, Times [optional]
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Evaluation
<!-- Epoch Training Loss Validation Loss
1 No log 0.074766
2 0.324300 0.070451
3 0.324300 0.069292 -->
Testing Data, Factors & Metrics
Testing Data
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Factors
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Metrics
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Results
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Summary
Model Examination [optional]
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Environmental Impact
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Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).
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Technical Specifications [optional]
Model Architecture and Objective
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Compute Infrastructure
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Hardware
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Software
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Citation [optional]
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APA:
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Glossary [optional]
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Model Card Authors [optional]
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