Phi-3-mini-finetuned-dialogstudio-bnb-8bits
This model is a fine-tuned version of microsoft/Phi-3-mini-4k-instruct on the dialogstudio dataset. It achieves the following results on the evaluation set:
- Loss: 2.0912
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: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- training_steps: 25
Training results
Framework versions
- PEFT 0.11.1
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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Model tree for patelrajnath/Phi-3-mini-finetuned-dialogstudio-bnb-8bits
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microsoft/Phi-3-mini-4k-instruct
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