File size: 2,456 Bytes
736ce1a 2f732c0 736ce1a 2f732c0 736ce1a 2f732c0 |
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: 1.9597
## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.5955 | 2.5 | 25 | 1.1871 |
| 0.4382 | 5.0 | 50 | 1.3249 |
| 0.1055 | 7.5 | 75 | 1.6587 |
| 0.0314 | 10.0 | 100 | 1.7388 |
| 0.018 | 12.5 | 125 | 1.7894 |
| 0.0062 | 15.0 | 150 | 1.8581 |
| 0.0167 | 17.5 | 175 | 1.8562 |
| 0.0034 | 20.0 | 200 | 1.8495 |
| 0.0038 | 22.5 | 225 | 1.8778 |
| 0.0016 | 25.0 | 250 | 1.8412 |
| 0.0012 | 27.5 | 275 | 1.8858 |
| 0.0011 | 30.0 | 300 | 1.9118 |
| 0.001 | 32.5 | 325 | 1.9290 |
| 0.0009 | 35.0 | 350 | 1.9401 |
| 0.0008 | 37.5 | 375 | 1.9467 |
| 0.0008 | 40.0 | 400 | 1.9519 |
| 0.0008 | 42.5 | 425 | 1.9556 |
| 0.0007 | 45.0 | 450 | 1.9579 |
| 0.0007 | 47.5 | 475 | 1.9597 |
| 0.0006 | 50.0 | 500 | 1.9597 |
### Framework versions
- PEFT 0.13.0
- Transformers 4.45.1
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.0 |