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---
library_name: transformers
tags: []
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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:** []
### How to Get Started with the Model
Use the code below to get started with the model.
## Running the model
## Training Details
### 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 |
## Environmental Impact
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
- **Hardware Type:** [T4 GPU]
- **Hours used:** [3]
- **Cloud Provider:** [Google Colab]
## Technical Specifications [optional]
### Model Architecture and Objective
[More Information Needed]
### Compute Infrastructure
[More Information Needed]
#### Hardware
[More Information Needed]
#### Software
[More Information Needed]
## Model Card Authors [optional]
[Fastino Mateteva]
## Model Card Contact
[fastinomateteva@gmail.com] |