Translator_Eng_Tel_instruct
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 0.2120
Model description
This model is a fine-tuned version of the Mistral 7B Instruct model aimed at translating English text to Telugu. It has been fine-tuned using the QLoRA 4-bit technique for instruction fine-tuning.
Intended uses & limitations
This model is intended for translating English text to Telugu. It is recommended to use this model in environments that require high-quality translations between these two languages.
Usage:
from peft import PeftModel, PeftConfig
from transformers import AutoModelForCausalLM
config = PeftConfig.from_pretrained("MRR24/Translator_Eng_Tel_instruct")
base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-Instruct-v0.2")
model = PeftModel.from_pretrained(base_model, "MRR24/Translator_Eng_Tel_instruct")
Training and evaluation data
The training dataset consists of 140k data points, while the testing dataset contains 16k data points. These datasets were meticulously curated to ensure the high-quality translation capability of the model.
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0005
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 2
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
0.2549 | 0.9992 | 956 | 0.2554 |
0.2138 | 1.9984 | 1912 | 0.2120 |
Framework versions
- PEFT 0.10.0
- Transformers 4.40.1
- Pytorch 2.1.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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Model tree for MRR24/Translator_Eng_Tel_instruct
Base model
mistralai/Mistral-7B-Instruct-v0.2