batch1_epochs4_lr1e-05_paged_adamw_32bit_cosine_length2048_warmup_0.05_max_grad1.0_grad_accu32
This model is a fine-tuned version of MNC-LLM/Mistral-7B-NWS-u2k-merge-Marcoroni on the None 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: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 4
Training results
Framework versions
- Transformers 4.34.0
- Pytorch 2.1.0
- Datasets 2.14.7
- Tokenizers 0.14.1
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Model tree for MNC-LLM/Mistral-7B-NWS-u2k-Marcoroni-prompt-found-LaAdMoAl-ep4lr5
Base model
MNC-LLM/Mistral-7B-NWS-u2k-merge-Marcoroni