stablelm-2-1_6b-sft-full-spin-sigmoid-iter0_1_61101_bad_responses_0_1
This model is a fine-tuned version of nnheui/stablelm-2-1_6b-sft-full on the nnheui/stablelm-2-1_6b-sft-full-ultrachat_200k_generated-1_61101 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: 5e-07
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 16
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1
Training results
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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Model tree for nnheui/stablelm-2-1_6b-sft-full-spin-sigmoid-iter0_1_61101_bad_responses_0_1
Base model
stabilityai/stablelm-2-1_6b
Finetuned
nnheui/stablelm-2-1_6b-sft-full
Finetuned
this model