File size: 1,097 Bytes
f4b4f3f 4fb19b3 f4b4f3f 4fb19b3 f4b4f3f 4fb19b3 f4b4f3f 4fb19b3 f4b4f3f 4fb19b3 f4b4f3f 4fb19b3 f4b4f3f 4fb19b3 f4b4f3f 4fb19b3 f4b4f3f 4fb19b3 f4b4f3f 4fb19b3 f4b4f3f 4fb19b3 f4b4f3f 4fb19b3 f4b4f3f 4fb19b3 f4b4f3f 4fb19b3 f4b4f3f 4fb19b3 f4b4f3f 4fb19b3 f4b4f3f 4fb19b3 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 |
---
license: mit
library_name: peft
tags:
- generated_from_trainer
base_model: microsoft/phi-1_5
model-index:
- name: phi-1_5-finetuned-mcq
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# phi-1_5-finetuned-mcq
This model is a fine-tuned version of [microsoft/phi-1_5](https://huggingface.co/microsoft/phi-1_5) 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: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- training_steps: 1000
### Training results
### Framework versions
- PEFT 0.7.1
- Transformers 4.37.0
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0 |