File size: 2,234 Bytes
67baf8a 7bd5125 67baf8a 7bd5125 67baf8a 7bd5125 67baf8a |
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 |
---
license: llama3.1
library_name: peft
tags:
- generated_from_trainer
base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
model-index:
- name: llama3_8b_instruct_BWRM
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. -->
# llama3_8b_instruct_BWRM
This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B-Instruct](https://huggingface.co./meta-llama/Meta-Llama-3.1-8B-Instruct) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2710
## 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: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 1024
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.8058 | 0.1840 | 20 | 0.5918 |
| 0.5986 | 0.3680 | 40 | 0.5643 |
| 0.5513 | 0.5520 | 60 | 0.5113 |
| 0.5039 | 0.7361 | 80 | 0.4433 |
| 0.4539 | 0.9201 | 100 | 0.4424 |
| 0.4083 | 1.1041 | 120 | 0.4024 |
| 0.3823 | 1.2881 | 140 | 0.3805 |
| 0.3644 | 1.4721 | 160 | 0.3400 |
| 0.336 | 1.6561 | 180 | 0.3206 |
| 0.3314 | 1.8401 | 200 | 0.3185 |
| 0.3105 | 2.0242 | 220 | 0.3078 |
| 0.2929 | 2.2082 | 240 | 0.2948 |
| 0.2855 | 2.3922 | 260 | 0.2831 |
| 0.2787 | 2.5762 | 280 | 0.2821 |
| 0.2717 | 2.7602 | 300 | 0.2757 |
| 0.2703 | 2.9442 | 320 | 0.2710 |
### Framework versions
- PEFT 0.10.0
- Transformers 4.44.0
- Pytorch 2.3.0+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1 |