File size: 2,473 Bytes
e8e1555 cd846ee e8e1555 cd846ee e8e1555 |
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 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 |
---
license: apache-2.0
base_model: Deci/DeciCoder-1b
tags:
- generated_from_trainer
model-index:
- name: peft-lora-DeciCoder1b-personal-copilot-A100-40GB-colab
results: []
library_name: peft
---
<!-- 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. -->
# peft-lora-DeciCoder1b-personal-copilot-A100-40GB-colab
This model is a fine-tuned version of [Deci/DeciCoder-1b](https://huggingface.co/Deci/DeciCoder-1b) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3977
## 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: 0.0005
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 30
- training_steps: 2000
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.831 | 0.05 | 100 | 0.7074 |
| 0.7092 | 0.1 | 200 | 0.5904 |
| 0.6971 | 0.15 | 300 | 0.5637 |
| 0.8405 | 0.2 | 400 | 0.5363 |
| 0.6548 | 0.25 | 500 | 0.5126 |
| 0.6022 | 0.3 | 600 | 0.4634 |
| 0.6568 | 0.35 | 700 | 0.4529 |
| 0.87 | 0.4 | 800 | 0.4491 |
| 0.4818 | 0.45 | 900 | 0.4438 |
| 0.5067 | 0.5 | 1000 | 0.4117 |
| 0.4578 | 0.55 | 1100 | 0.4044 |
| 0.5909 | 0.6 | 1200 | 0.4041 |
| 0.3646 | 0.65 | 1300 | 0.4027 |
| 0.4597 | 0.7 | 1400 | 0.3963 |
| 0.3385 | 0.75 | 1500 | 0.3935 |
| 0.2696 | 0.8 | 1600 | 0.3955 |
| 0.3011 | 0.85 | 1700 | 0.3966 |
| 0.2931 | 0.9 | 1800 | 0.3980 |
| 0.2904 | 0.95 | 1900 | 0.3978 |
| 0.2669 | 1.0 | 2000 | 0.3977 |
### Framework versions
- PEFT 0.5.0.dev0
- Transformers 4.32.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
|