File size: 1,862 Bytes
84f4d86 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 |
---
language:
- en
tags:
- education
- english
- small-model
- fine-tuned
- teaching-assistant
license: apache-2.0
datasets:
- video-transcripts
metrics:
- accuracy
model-index:
- name: Small English Teacher
results:
- task:
name: Educational Instruction
type: text-generation
dataset:
name: Video Transcripts
type: generated
metrics:
- type: Accuracy
value: 80%
mode: approximate
---
# Small English Teacher Model
## Model Description
Small English Teacher is a compact language model fine-tuned for educational instruction in English. Designed to provide clear, concise, and helpful explanations across various educational contexts.
### Key Features
- Trained on diverse video transcript data
- Specializes in educational content generation
- Provides step-by-step explanations
- Compact model with efficient performance
### Training Details
- Base Model: [Original Base Model Name]
- Training Data: Video transcripts
- Fine-tuning Method: LoRA (Low-Rank Adaptation)
- Model Size: Small (3.7 GB)
### Example Capabilities
- Generate educational explanations
- Break down complex concepts
- Provide structured learning content
### Limitations
- Best suited for general educational content
- May have limited depth in specialized subjects
- Performance may vary across different topics
### Ethical Considerations
Intended for educational support and should be used responsibly.
## Usage
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained("your-username/small-english-teacher")
tokenizer = AutoTokenizer.from_pretrained("your-username/small-english-teacher")
```
## License
Apache 2.0
## Citation
If you use this model, please cite:
[Placeholder for citation details]
|