Capsd Marin 8b Base Science Ppl B4000 S0
This model is a fine-tuned version of marin-community/marin-8b-base on the capsdmarin-8b-base-n10000mixsciencepplb4000s0 dataset.
Fonte do modelo
- Tipo
- Text model
- Tamanho do arquivo
- 15,0 GB
- Modelo base
- marin-community/marin-8b-base
- Versão
- vmodel
- Atualizado
- 24 de out. de 2026
- Downloads
- 10
- Fonte
- Hugging Face
Descrição da fonte
marin-8b-base_science_ppl_b4000_s0
This model is a fine-tuned version of marin-community/marin-8b-base on the capsd_marin-8b-base-n10000__mix_science_ppl_b4000_s0 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: 1
- eval_batch_size: 8
- seed: 0
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 16
- total_train_batch_size: 64
- total_eval_batch_size: 32
- 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_steps: 0.03
- num_epochs: 1
Training results
Framework versions
- Transformers 5.7.0
- Pytorch 2.13.0+cu130
- Datasets 4.0.0
- Tokenizers 0.22.2
Fontes
1 fonte
Fontes
1 fonteVerificado 24 de out.
Artefatos de modelo
2 artefatos
Artefatos de modelo
2 artefatosTrechos de fonte
3 trechos
Trechos de fonte
3 trechos--- library_name: transformers license: other base_model: marin-community/marin-8b-base tags: - llama-factory - full - generated_from_trainer model-index: - name: marin-8b-base_science_ppl_b4000_s0 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. --> # marin-8b-base_science_ppl_b4000_s0 This model is a fine-tuned version of [marin-community/marin-8b-base](https://huggingface.co/marin-community/marin-8b-base) on the capsd_marin-8b-base-n10000__mix_science_ppl_b4000_s0 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: 1 - eval_batch_size: 8 - seed: 0 - distributed_type: multi-GPU - num_devices: 4 - gradient_accumulation_steps: 16 - total_train_batch_size: 64 - total_eval_batch_size: 32 - 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_steps: 0.03 - num_epochs: 1 ### Training results ### Framework versions - Transformers 5.7.0 - Pytorch 2.13.0+cu130 - Datasets 4.0.0 - Tokenizers 0.22.2
Source context: 10 downloads · 0 likes · Pipeline text-generation · Library transformers · Repo AmberYifan/capsd-marin-8b-base-science_ppl_b4000_s0
Source context: 270 downloads · 0 likes · Pipeline text-generation · Library transformers · Repo AmberYifan/capsd-marin-8b-base-science_ppl_b4000_s0
