File size: 1,662 Bytes
9e1a3e1 f2ef96d 9e1a3e1 f2ef96d 9e1a3e1 f2ef96d 9e1a3e1 f2ef96d 9e1a3e1 f2ef96d 9e1a3e1 f2ef96d 9e1a3e1 f2ef96d 9e1a3e1 f2ef96d 9e1a3e1 f2ef96d 9e1a3e1 f2ef96d 9e1a3e1 f2ef96d 9e1a3e1 f2ef96d 9e1a3e1 f2ef96d 9e1a3e1 f2ef96d 9e1a3e1 f2ef96d 9e1a3e1 f2ef96d 9e1a3e1 f2ef96d |
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 |
---
license: llama3
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: meta-llama/Meta-Llama-3-8B-Instruct
model-index:
- name: llama3_8b_bwgenerator
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_bwgenerator
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1103
## 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: 0.0003
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.5558 | 0.3359 | 80 | 0.2518 |
| 0.1877 | 0.6718 | 160 | 0.1439 |
| 0.1275 | 1.0077 | 240 | 0.1190 |
| 0.1168 | 1.3437 | 320 | 0.1136 |
| 0.1125 | 1.6796 | 400 | 0.1103 |
### Framework versions
- PEFT 0.10.0
- Transformers 4.44.0
- Pytorch 2.3.0+cu121
- Datasets 2.14.7
- Tokenizers 0.19.1 |