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Model Details
Model Description
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: Mohammad Amin Ghasemi
- Model type: Bert
- Finetuned from model [optional]: "HooshvareLab/bert-fa-zwnj-base"
About Model
This is a dummy custom Bert-like model, which has only 4 encoder layers(instead of 12 in the original one) and its encoders are initialized based on the encoder layers 0, 4, 8, 11 of the original model. (Thse are all based on the requirements of a silly contest question)
Downstream Use
You can fine-tune the model(on persian text) to see if it could obtain a good result for classification (but it's not recommended really :)
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
from transformers import AutoModel model = AutoModel.from_pretrained(“amingh802001/Jalal_Bert”) output = model(input_ids=input_ids, attention_mask=attention_mask, token_type_ids= token_type_ids)
also you can access the outputs of hidden_states in this way: output_of_layer_i = output.hidden_states[i+1] (zero is for the embeddings layer)
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Training Details
Training Data
A matrix of outputs of all hidden layers of all tokens in the vocabulary of the base model
Training Procedure
Preprocessing [optional]
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Training Hyperparameters
- Training regime: [More Information Needed]
Speeds, Sizes, Times [optional]
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Evaluation
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
Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).
- Hardware Type: [More Information Needed]
- Hours used: [More Information Needed]
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Technical Specifications [optional]
Model Architecture and Objective
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Compute Infrastructure
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Hardware
My own laptop and cpu on colab :(( [More Information Needed]
Software
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Citation [optional]
BibTeX:
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APA:
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Glossary [optional]
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Model Card Authors [optional]
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