metadata
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: gemma3_bilingual_cpt_fast
results: []
license: gemma
datasets:
- Helsinki-NLP/opus-100
- ReliableAI/Irish-Text-Collection
language:
- en
- ga
base_model:
- google/gemma-3-270m
gemma3_bilingual_cpt_fast
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.0043
- Model Preparation Time: 0.0337
Model description
Simple Continued pretraining of gemma-3-270m for Irish (80%) and English (20%) as a test for generating better Irish understanding. Heavily influenced by the work done by reliableai
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: 0.0004
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- training_steps: 2000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Model Preparation Time |
|---|---|---|---|---|
| 3.8479 | 0.1414 | 400 | 3.7987 | 0.0337 |
| 3.6146 | 0.2828 | 800 | 3.5188 | 0.0337 |
| 3.3704 | 0.4242 | 1200 | 3.3405 | 0.0337 |
| 3.2304 | 0.5655 | 1600 | 3.2068 | 0.0337 |
| 3.1446 | 0.7069 | 2000 | 3.1178 | 0.0337 |
Framework versions
- Transformers 4.56.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.0