trendyol_fine_tune
This model is a fine-tuned version of Trendyol/Trendyol-LLM-7b-chat-dpo-v1.0 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: 0.0002
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.3
- num_epochs: 1
Training results
Framework versions
- PEFT 0.12.1.dev0
- Transformers 4.44.0.dev0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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Model tree for moarslan/trendyol_fine_tune
Base model
mistralai/Mistral-7B-v0.1 Finetuned
Trendyol/Trendyol-LLM-7b-base-v1.0 Finetuned
Trendyol/Trendyol-LLM-7b-chat-v1.0 Finetuned
Trendyol/Trendyol-LLM-7b-chat-dpo-v1.0