transformers pytorch mixformer-sequential text-generation generated_from_trainer custom_code base_model:microsoft/phi-1_5 license:other autotrain_compatible region:us
---
license: other
base_model: microsoft/phi-1_5
tags:
- generated_from_trainer
model-index:
- name: phi-sft-outC
  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. -->

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# phi-sft-outC

This model is a fine-tuned version of [microsoft/phi-1_5](https://huggingface.co/microsoft/phi-1_5) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7401

## 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: 3e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-05
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.8712        | 0.01  | 1    | 0.9999          |
| 1.0178        | 0.21  | 30   | 0.9624          |
| 1.0656        | 0.41  | 60   | 0.8691          |
| 0.8251        | 0.62  | 90   | 0.8188          |
| 0.8962        | 0.82  | 120  | 0.7913          |
| 0.9011        | 1.03  | 150  | 0.7756          |
| 0.8312        | 1.23  | 180  | 0.7655          |
| 0.7654        | 1.44  | 210  | 0.7585          |
| 1.0281        | 1.64  | 240  | 0.7522          |
| 0.8819        | 1.85  | 270  | 0.7480          |
| 0.8851        | 2.05  | 300  | 0.7453          |
| 0.8821        | 2.26  | 330  | 0.7434          |
| 0.7589        | 2.47  | 360  | 0.7423          |
| 0.7541        | 2.67  | 390  | 0.7411          |
| 0.9416        | 2.88  | 420  | 0.7406          |
| 0.8544        | 3.08  | 450  | 0.7403          |
| 0.8682        | 3.29  | 480  | 0.7402          |
| 0.8589        | 3.49  | 510  | 0.7401          |
| 0.7781        | 3.7   | 540  | 0.7402          |
| 0.8715        | 3.9   | 570  | 0.7401          |


### Framework versions

- Transformers 4.34.0.dev0
- Pytorch 2.0.0+cu118
- Datasets 2.14.5
- Tokenizers 0.14.0
