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---
license: other
base_model: microsoft/phi-1_5
tags:
- generated_from_trainer
model-index:
- name: phi-1_5-finetuned-model-15-10
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-model-15-10
This model is a fine-tuned version of [microsoft/phi-1_5](https://huggingface.co/microsoft/phi-1_5) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.7222
## 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: 1
- 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: 1000
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.7877 | 0.8 | 100 | 2.7425 |
| 2.6025 | 1.6 | 200 | 2.6925 |
| 2.5405 | 2.4 | 300 | 2.6806 |
| 2.4735 | 3.2 | 400 | 2.6880 |
| 2.4282 | 4.0 | 500 | 2.6807 |
| 2.3467 | 4.8 | 600 | 2.6904 |
| 2.2924 | 5.6 | 700 | 2.7146 |
| 2.2779 | 6.4 | 800 | 2.7179 |
| 2.249 | 7.2 | 900 | 2.7212 |
| 2.2317 | 8.0 | 1000 | 2.7222 |
### Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1
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