File size: 2,649 Bytes
d57c825 72b8f12 d57c825 346605e d57c825 ac95f1f 6ec1080 |
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 |
---
library_name: transformers
license: apache-2.0
datasets:
- Locutusque/hercules-v2.0
- CollectiveCognition/chats-data-2023-09-22
language:
- en
---
# lr-experiment1-7B
The lr-experiment model series is a research project I'm conducting that I will be using to determine the best learning rate to use while fine-tuning Mistral. This model uses a learning rate of 2e-5 with a cosine scheduler and no warmup steps.
I used Locutusque/Hercules-2.0-Mistral-7B as a base model, and further fine-tuned it on CollectiveCognition/chats-data-2023-09-22 using QLoRA for 3 epochs. I will be keeping track of evaluation results, and will comparing it to upcoming models.
# Evals
| Tasks |Version|Filter|n-shot| Metric |Value | |Stderr|
|---------------------------------|-------|------|------|--------|-----:|---|-----:|
|agieval_nous |N/A |none |None |acc |0.3645|± |0.0093|
| | |none |None |acc_norm|0.3468|± |0.0092|
| - agieval_aqua_rat | 1|none |None |acc |0.2283|± |0.0264|
| | |none |None |acc_norm|0.2283|± |0.0264|
| - agieval_logiqa_en | 1|none |None |acc |0.2965|± |0.0179|
| | |none |None |acc_norm|0.3303|± |0.0184|
| - agieval_lsat_ar | 1|none |None |acc |0.2217|± |0.0275|
| | |none |None |acc_norm|0.1783|± |0.0253|
| - agieval_lsat_lr | 1|none |None |acc |0.4039|± |0.0217|
| | |none |None |acc_norm|0.3686|± |0.0214|
| - agieval_lsat_rc | 1|none |None |acc |0.4870|± |0.0305|
| | |none |None |acc_norm|0.4424|± |0.0303|
| - agieval_sat_en | 1|none |None |acc |0.6408|± |0.0335|
| | |none |None |acc_norm|0.5971|± |0.0343|
| - agieval_sat_en_without_passage| 1|none |None |acc |0.3932|± |0.0341|
| | |none |None |acc_norm|0.3835|± |0.0340|
| - agieval_sat_math | 1|none |None |acc |0.3455|± |0.0321|
| | |none |None |acc_norm|0.2727|± |0.0301|
| Groups |Version|Filter|n-shot| Metric |Value | |Stderr|
|------------|-------|------|------|--------|-----:|---|-----:|
|agieval_nous|N/A |none |None |acc |0.3645|± |0.0093|
| | |none |None |acc_norm|0.3468|± |0.0092| |