peft-dialogue-summary-training-1725678440
This model is a fine-tuned version of microsoft/phi-2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.3407
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: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1
- training_steps: 200
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.667 | 0.0500 | 25 | 1.4002 |
| 1.193 | 0.1001 | 50 | 1.3815 |
| 1.4485 | 0.1501 | 75 | 1.3547 |
| 1.207 | 0.2001 | 100 | 1.3567 |
| 1.4411 | 0.2501 | 125 | 1.3465 |
| 1.1428 | 0.3002 | 150 | 1.3491 |
| 1.4025 | 0.3502 | 175 | 1.3419 |
| 1.1534 | 0.4002 | 200 | 1.3407 |
Framework versions
- PEFT 0.12.0
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
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Base model
microsoft/phi-2