File size: 2,501 Bytes
5c8988e |
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 |
---
base_model: NousResearch/Meta-Llama-3.1-8B-Instruct
datasets:
- generator
library_name: peft
license: llama3.1
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: llama381binstruct_summarize_short
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. -->
# llama381binstruct_summarize_short
This model is a fine-tuned version of [NousResearch/Meta-Llama-3.1-8B-Instruct](https://huggingface.co/NousResearch/Meta-Llama-3.1-8B-Instruct) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 2.8862
## 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: 0.0002
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 30
- training_steps: 500
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-------:|:----:|:---------------:|
| 1.7758 | 1.3158 | 25 | 1.6937 |
| 0.7261 | 2.6316 | 50 | 1.7634 |
| 0.3962 | 3.9474 | 75 | 1.8509 |
| 0.1317 | 5.2632 | 100 | 2.1687 |
| 0.0754 | 6.5789 | 125 | 2.3035 |
| 0.042 | 7.8947 | 150 | 2.4272 |
| 0.031 | 9.2105 | 175 | 2.4986 |
| 0.0143 | 10.5263 | 200 | 2.6026 |
| 0.0126 | 11.8421 | 225 | 2.5424 |
| 0.0081 | 13.1579 | 250 | 2.6719 |
| 0.0037 | 14.4737 | 275 | 2.7089 |
| 0.0034 | 15.7895 | 300 | 2.7364 |
| 0.0035 | 17.1053 | 325 | 2.7922 |
| 0.0027 | 18.4211 | 350 | 2.8199 |
| 0.0031 | 19.7368 | 375 | 2.8449 |
| 0.0022 | 21.0526 | 400 | 2.8645 |
| 0.0025 | 22.3684 | 425 | 2.8749 |
| 0.0018 | 23.6842 | 450 | 2.8810 |
| 0.0019 | 25.0 | 475 | 2.8851 |
| 0.0028 | 26.3158 | 500 | 2.8862 |
### Framework versions
- PEFT 0.12.0
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1 |