metadata
base_model: final_models/focus_kin_phi_after_focus_reinit
tags:
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_11_0
model-index:
- name: focus_kin_phi_focus_trained
results: []
Paper and Citation
@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_kin_phi_focus_trained
This model is a fine-tuned version of final_models/focus_kin_phi_after_focus_reinit on the mozilla-foundation/common_voice_11_0 rw dataset. It achieves the following results on the evaluation set:
- Loss: nan
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 |
|---|---|---|---|
| 7.6014 | 1.0 | 10717 | 7.3522 |
| 7.732 | 2.0 | 21434 | 7.3873 |
| 0.0 | 3.0 | 32151 | nan |
| 0.0 | 4.0 | 42868 | nan |
| 0.0 | 5.0 | 53585 | nan |
| 0.0 | 6.0 | 64302 | nan |
Framework versions
- Transformers 4.44.0
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.19.1