metadata
license: mit
library_name: peft
tags:
- generated_from_trainer
base_model: microsoft/phi-2
model-index:
- name: phi2-samsum
results: []
datasets:
- samsum
phi2-samsum
This model is a fine-tuned version of microsoft/phi-2 on the samsum dataset. It achieves the following results on the evaluation set:
- Loss: 2.2606
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: 2.5e-05
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1
- training_steps: 500
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.7371 | 0.0 | 25 | 2.5507 |
| 2.5853 | 0.01 | 50 | 2.3917 |
| 2.3176 | 0.01 | 75 | 2.3258 |
| 2.3459 | 0.01 | 100 | 2.3066 |
| 2.3003 | 0.02 | 125 | 2.2957 |
| 2.2767 | 0.02 | 150 | 2.2883 |
| 2.2637 | 0.02 | 175 | 2.2835 |
| 2.3387 | 0.03 | 200 | 2.2787 |
| 2.3151 | 0.03 | 225 | 2.2759 |
| 2.1807 | 0.03 | 250 | 2.2767 |
| 2.4122 | 0.04 | 275 | 2.2703 |
| 2.139 | 0.04 | 300 | 2.2680 |
| 2.3887 | 0.04 | 325 | 2.2664 |
| 2.2124 | 0.05 | 350 | 2.2648 |
| 2.2271 | 0.05 | 375 | 2.2649 |
| 2.3335 | 0.05 | 400 | 2.2634 |
| 2.2411 | 0.06 | 425 | 2.2628 |
| 2.4075 | 0.06 | 450 | 2.2619 |
| 2.3136 | 0.06 | 475 | 2.2615 |
| 2.2328 | 0.07 | 500 | 2.2606 |
Framework versions
- PEFT 0.7.2.dev0
- Transformers 4.38.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0