base_LLM_CAC_200M
This model is a fine-tuned version of wanderer2k1/base_LLM_183MB_concat_and_chunk on an unknown 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: 3.6e-05
- train_batch_size: 8
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 4.40.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
- Downloads last month
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Inference Providers
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Model tree for VTSNLP/base_LLM_CAC_200M
Base model
wanderer2k1/base_LLM_183MB_concat_and_chunk