File size: 2,987 Bytes
29eaeb7 f478f40 29eaeb7 f478f40 29eaeb7 f478f40 29eaeb7 |
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 |
---
library_name: peft
license: llama3
base_model: meta-llama/Meta-Llama-3-8B-Instruct
tags:
- llama-factory
- lora
- generated_from_trainer
model-index:
- name: train_codealpacapy_42_1760705166
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. -->
# train_codealpacapy_42_1760705166
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 the codealpacapy dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4436
- Num Input Tokens Seen: 24887720
## 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: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 20
### Training results
| Training Loss | Epoch | Step | Validation Loss | Input Tokens Seen |
|:-------------:|:-----:|:-----:|:---------------:|:-----------------:|
| 0.4698 | 1.0 | 1908 | 0.4576 | 1243048 |
| 0.3335 | 2.0 | 3816 | 0.4475 | 2489456 |
| 0.3801 | 3.0 | 5724 | 0.4436 | 3733736 |
| 0.4428 | 4.0 | 7632 | 0.4494 | 4976128 |
| 0.4908 | 5.0 | 9540 | 0.4700 | 6219592 |
| 0.3863 | 6.0 | 11448 | 0.5028 | 7467968 |
| 0.2981 | 7.0 | 13356 | 0.5452 | 8709168 |
| 0.2559 | 8.0 | 15264 | 0.6192 | 9958360 |
| 0.2353 | 9.0 | 17172 | 0.6835 | 11204000 |
| 0.1702 | 10.0 | 19080 | 0.7745 | 12446408 |
| 0.0753 | 11.0 | 20988 | 0.9030 | 13691904 |
| 0.0887 | 12.0 | 22896 | 1.0084 | 14937216 |
| 0.0529 | 13.0 | 24804 | 1.1341 | 16179624 |
| 0.0328 | 14.0 | 26712 | 1.2237 | 17425368 |
| 0.0106 | 15.0 | 28620 | 1.3184 | 18668536 |
| 0.0104 | 16.0 | 30528 | 1.4355 | 19916008 |
| 0.0065 | 17.0 | 32436 | 1.5085 | 21158120 |
| 0.0074 | 18.0 | 34344 | 1.5513 | 22400368 |
| 0.0034 | 19.0 | 36252 | 1.5742 | 23645440 |
| 0.0014 | 20.0 | 38160 | 1.5826 | 24887720 |
### Framework versions
- PEFT 0.15.2
- Transformers 4.51.3
- Pytorch 2.8.0+cu128
- Datasets 3.6.0
- Tokenizers 0.21.1 |