cb93b276-e076-44fd-9fd8-90e3e518f4b2
This model is a fine-tuned version of unsloth/Phi-3.5-mini-instruct on the None dataset. It achieves the following results on the evaluation set:
- Loss: 12.6055
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: 0.0001001
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=adam_beta1=0.9,adam_beta2=0.95,adam_epsilon=1e-5
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10
- training_steps: 200
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 15.0473 | 0.0002 | 1 | 13.6138 |
| 7.2455 | 0.0076 | 50 | 13.5470 |
| 7.872 | 0.0152 | 100 | 13.0380 |
| 7.3184 | 0.0227 | 150 | 12.9848 |
| 5.7976 | 0.0303 | 200 | 12.6055 |
Framework versions
- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1
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Model tree for lesso/cb93b276-e076-44fd-9fd8-90e3e518f4b2
Base model
microsoft/Phi-3.5-mini-instruct
Finetuned
unsloth/Phi-3.5-mini-instruct