library_name: transformers
tags: []
Model Card for Model ID
Model Details
Model Description
This is the model card of a 🤗 transformers model that has been pushed on the Hub.
- Developed by: [Fastino Mateteva]
- Model type: [Transformer model]
- Language(s) (NLP): [Shona]
- License: []
Model Sources [optional]
- Repository: [More Information Needed]
- Paper [optional]: [More Information Needed]
- Demo [optional]: [More Information Needed]
Uses
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
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
Use the code below to get started with the model.
Running the model
Training Details
Training Data
[More Information Needed]
Training Procedure
Preprocessing [optional]
[More Information Needed]
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-4
- per_device_train_batch_size=4
- eval_batch_size: 2
- evaluation_strategy="steps"
- gradient_checkpointing=True
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- num_train_epochs=3
- save_total_limit=1
- fp16=True
- save_steps=400
- eval_steps=200
- logging_steps=200
- push_to_hub=True
Training results
| Training Loss | WER | Step | Validation Loss |
|---|---|---|---|
| 6.427 | 1.00 | 200 | 4.1518 |
| 3.7979 | 1.00 | 400 | 3.8410 |
| 3.6924 | 1.00 | 600 | 3.4249 |
| 0.8357 | 0.26 | 800 | 0.2396 |
| 0.1528 | 0.24 | 1000 | 0.2155 |
| 0.1415 | 0.24 | 1200 | 0.2036 |
| 0.1278 | 0.24 | 1400 | 0.2028 |
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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Environmental Impact
Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).
- Hardware Type: [T4 GPU]
- Hours used: [3]
- Cloud Provider: [Google Colab]
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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Model Card Authors [optional]
[Fastino Mateteva]