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
- Downloads last month
- 9
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.
Model tree for MNC-LLM/Mistral-7B-NWS-u2k-Marcoroni-prompt-found-LaAdMoAl-ep4lr5
Base model
MNC-LLM/Mistral-7B-NWS-u2k-merge-Marcoroni