minerva-sft-mt-tatoeba-downsample-10-12-24
This model is a fine-tuned version of sapienzanlp/Minerva-7B-base-v1.0-1110 on the mt-it-en-sft-tatoeba-downsample dataset.
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: 1e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 16
- total_train_batch_size: 128
- total_eval_batch_size: 128
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 3.0
Training results
Framework versions
- Transformers 4.46.1
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
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Model tree for BS-team/Minerva-7B-base-v1.0-sft-mt-tatoeba-downsample-10-12-24
Base model
sapienzanlp/Minerva-7B-base-v1.0-1110