metadata
base_model: cifope/nllb-200-en-twi-v4-1.3B
tags:
- generated_from_trainer
model-index:
- name: output_dir2
results: []
output_dir2
This model is a fine-tuned version of cifope/nllb-200-en-twi-v4-1.3B on the None dataset. It achieves the following results on the evaluation set:
- eval_rouge: 0.8878
- eval_loss: 4.8689
- eval_rouge1: 0.9058
- eval_rouge2: 0.8579
- eval_rougeL: 0.8996
- eval_runtime: 118.7194
- eval_samples_per_second: 6.065
- eval_steps_per_second: 0.379
- epoch: 0.47
- step: 100
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: 0.0001
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 3
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.38.2
- Pytorch 2.4.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2