File size: 4,140 Bytes
68e43c0 9a50685 68e43c0 9a50685 |
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 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 |
---
license: apache-2.0
tags:
- generated_from_trainer
base_model: princeton-nlp/Sheared-LLaMA-1.3B
model-index:
- name: out
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. -->
[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
# out
This model is a fine-tuned version of [princeton-nlp/Sheared-LLaMA-1.3B](https://huggingface.co/princeton-nlp/Sheared-LLaMA-1.3B) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5764
## 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: 2.5e-05
- train_batch_size: 3
- eval_batch_size: 3
- seed: 42
- gradient_accumulation_steps: 3
- total_train_batch_size: 9
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_steps: 300
- num_epochs: 1
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.0341 | 0.03 | 30 | 1.7322 |
| 1.7952 | 0.05 | 60 | 1.7122 |
| 1.8476 | 0.08 | 90 | 1.7011 |
| 2.1762 | 0.1 | 120 | 1.6919 |
| 2.0459 | 0.13 | 150 | 1.6838 |
| 1.7417 | 0.16 | 180 | 1.6761 |
| 1.7508 | 0.18 | 210 | 1.6685 |
| 1.8539 | 0.21 | 240 | 1.6612 |
| 1.7672 | 0.24 | 270 | 1.6559 |
| 1.7327 | 0.26 | 300 | 1.6521 |
| 1.9346 | 0.29 | 330 | 1.6458 |
| 1.8972 | 0.31 | 360 | 1.6432 |
| 1.545 | 0.34 | 390 | 1.6394 |
| 1.6737 | 0.37 | 420 | 1.6351 |
| 1.9233 | 0.39 | 450 | 1.6305 |
| 1.6822 | 0.42 | 480 | 1.6274 |
| 1.3781 | 0.44 | 510 | 1.6243 |
| 1.8232 | 0.47 | 540 | 1.6209 |
| 1.6995 | 0.5 | 570 | 1.6178 |
| 1.9164 | 0.52 | 600 | 1.6145 |
| 1.8104 | 0.55 | 630 | 1.6116 |
| 1.9563 | 0.58 | 660 | 1.6098 |
| 1.9536 | 0.6 | 690 | 1.6063 |
| 1.9269 | 0.63 | 720 | 1.6043 |
| 1.6234 | 0.65 | 750 | 1.6026 |
| 1.7635 | 0.68 | 780 | 1.5994 |
| 1.2534 | 0.71 | 810 | 1.5966 |
| 1.8849 | 0.73 | 840 | 1.5951 |
| 1.8618 | 0.76 | 870 | 1.5925 |
| 1.8688 | 0.79 | 900 | 1.5896 |
| 1.9419 | 0.81 | 930 | 1.5877 |
| 1.637 | 0.84 | 960 | 1.5878 |
| 1.4612 | 0.86 | 990 | 1.5848 |
| 1.5509 | 0.89 | 1020 | 1.5832 |
| 1.706 | 0.92 | 1050 | 1.5816 |
| 1.8552 | 0.94 | 1080 | 1.5797 |
| 1.7589 | 0.97 | 1110 | 1.5791 |
| 1.4988 | 0.99 | 1140 | 1.5764 |
### Framework versions
- Transformers 4.35.2
- Pytorch 2.0.1+cu117
- Datasets 2.15.0
- Tokenizers 0.15.0
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_Dans-DiscountModels__ShearedLlama-1.3b-FFT-Test1)
| Metric |Value|
|---------------------------------|----:|
|Avg. |35.71|
|AI2 Reasoning Challenge (25-Shot)|32.68|
|HellaSwag (10-Shot) |59.99|
|MMLU (5-Shot) |25.69|
|TruthfulQA (0-shot) |36.97|
|Winogrande (5-shot) |58.72|
|GSM8k (5-shot) | 0.23|
|