peft safetensors phi generated_from_trainer custom_code base_model:microsoft/phi-2 license:mit region:us
---
license: mit
library_name: peft
tags:
- generated_from_trainer
base_model: microsoft/phi-2
model-index:
- name: sft-microsoft-phi2-on-dialogsum
  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. -->

# sft-microsoft-phi2-on-dialogsum

This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3041

## 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: 5e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 5
- total_train_batch_size: 10
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- training_steps: 500
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.088         | 0.05  | 10   | 2.0210          |
| 1.9945        | 0.1   | 20   | 1.9228          |
| 1.8836        | 0.15  | 30   | 1.7275          |
| 1.6446        | 0.2   | 40   | 1.4587          |
| 1.4515        | 0.25  | 50   | 1.3866          |
| 1.4383        | 0.3   | 60   | 1.3570          |
| 1.3909        | 0.35  | 70   | 1.3467          |
| 1.3326        | 0.4   | 80   | 1.3409          |
| 1.3776        | 0.45  | 90   | 1.3379          |
| 1.294         | 0.5   | 100  | 1.3333          |
| 1.3302        | 0.55  | 110  | 1.3299          |
| 1.3272        | 0.6   | 120  | 1.3272          |
| 1.3121        | 0.65  | 130  | 1.3251          |
| 1.3259        | 0.7   | 140  | 1.3233          |
| 1.3359        | 0.75  | 150  | 1.3220          |
| 1.2652        | 0.8   | 160  | 1.3214          |
| 1.3379        | 0.85  | 170  | 1.3201          |
| 1.3724        | 0.9   | 180  | 1.3181          |
| 1.296         | 0.95  | 190  | 1.3173          |
| 1.3137        | 1.0   | 200  | 1.3166          |
| 1.3418        | 1.05  | 210  | 1.3157          |
| 1.279         | 1.1   | 220  | 1.3158          |
| 1.2952        | 1.15  | 230  | 1.3151          |
| 1.3373        | 1.2   | 240  | 1.3140          |
| 1.3266        | 1.25  | 250  | 1.3127          |
| 1.3438        | 1.3   | 260  | 1.3118          |
| 1.3005        | 1.35  | 270  | 1.3108          |
| 1.2956        | 1.4   | 280  | 1.3102          |
| 1.3305        | 1.45  | 290  | 1.3100          |
| 1.3162        | 1.5   | 300  | 1.3090          |
| 1.3043        | 1.55  | 310  | 1.3085          |
| 1.3038        | 1.6   | 320  | 1.3082          |
| 1.2942        | 1.65  | 330  | 1.3077          |
| 1.2853        | 1.7   | 340  | 1.3074          |
| 1.2924        | 1.75  | 350  | 1.3066          |
| 1.3229        | 1.8   | 360  | 1.3061          |
| 1.2597        | 1.85  | 370  | 1.3059          |
| 1.3058        | 1.9   | 380  | 1.3058          |
| 1.3168        | 1.95  | 390  | 1.3058          |
| 1.2991        | 2.0   | 400  | 1.3055          |
| 1.2974        | 2.05  | 410  | 1.3055          |
| 1.3091        | 2.1   | 420  | 1.3053          |
| 1.2637        | 2.15  | 430  | 1.3050          |
| 1.3002        | 2.2   | 440  | 1.3047          |
| 1.2989        | 2.25  | 450  | 1.3044          |
| 1.2609        | 2.3   | 460  | 1.3044          |
| 1.2734        | 2.35  | 470  | 1.3044          |
| 1.2927        | 2.4   | 480  | 1.3043          |
| 1.3172        | 2.45  | 490  | 1.3042          |
| 1.3341        | 2.5   | 500  | 1.3041          |


### Framework versions

- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.1.2
- Datasets 2.15.0
- Tokenizers 0.15.1