| --- |
| base_model: final_models/focus_bur_mpt_after_focus_reinit |
| tags: |
| - generated_from_trainer |
| datasets: |
| - mc4 |
| model-index: |
| - name: focus_bur_mpt_focus_trained |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # Paper and Citation |
| Paper: [Prompt, Translate, Fine-Tune, Re-Initialize, or Instruction-Tune? Adapting LLMs for In-Context Learning in Low-Resource Languages |
| ](https://arxiv.org/abs/2506.19187) |
| ``` |
| @misc{toukmaji2025prompttranslatefinetunereinitialize, |
| title={Prompt, Translate, Fine-Tune, Re-Initialize, or Instruction-Tune? Adapting LLMs for In-Context Learning in Low-Resource Languages}, |
| author={Christopher Toukmaji and Jeffrey Flanigan}, |
| year={2025}, |
| eprint={2506.19187}, |
| archivePrefix={arXiv}, |
| primaryClass={cs.CL}, |
| url={https://arxiv.org/abs/2506.19187}, |
| } |
| ``` |
|
|
| # focus_bur_mpt_focus_trained |
|
|
| This model is a fine-tuned version of [final_models/focus_bur_mpt_after_focus_reinit](https://huggingface.co/final_models/focus_bur_mpt_after_focus_reinit) on the mc4 my dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 2.0528 |
|
|
| ## Model description |
|
|
| More information needed |
|
|
| ## Intended uses & limitations |
|
|
| More information needed |
|
|
| ## Training and evaluation data |
|
|
| More information needed |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
|
|
| The following hyperparameters were used during training: |
| - learning_rate: 0.0003 |
| - train_batch_size: 1 |
| - eval_batch_size: 1 |
| - seed: 42 |
| - distributed_type: multi-GPU |
| - optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-05 |
| - lr_scheduler_type: cosine |
| - lr_scheduler_warmup_steps: 2000 |
| - num_epochs: 6.0 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:------:|:---------------:| |
| | 2.3438 | 1.0 | 24415 | 2.1199 | |
| | 1.4219 | 2.0 | 48830 | 2.0162 | |
| | 2.375 | 3.0 | 73245 | 1.9148 | |
| | 1.0312 | 4.0 | 97660 | 1.8230 | |
| | 1.1094 | 5.0 | 122075 | 1.8094 | |
| | 0.5508 | 6.0 | 146490 | 2.0528 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 4.44.0 |
| - Pytorch 2.5.1+cu124 |
| - Datasets 3.2.0 |
| - Tokenizers 0.19.1 |
|
|
