File size: 2,695 Bytes
9762256 |
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 84 85 |
---
base_model: meta-llama/Meta-Llama-3.1-8B
library_name: peft
license: llama3.1
metrics:
- accuracy
tags:
- trl
- reward-trainer
- generated_from_trainer
model-index:
- name: run-llama
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. -->
# run-llama
This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4304
- Accuracy: 0.7917
## 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: 1e-05
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 200
### Training results
| Training Loss | Epoch | Step | Accuracy | Validation Loss |
|:-------------:|:------:|:----:|:--------:|:---------------:|
| 0.6426 | 0.1130 | 10 | 0.5625 | 0.6485 |
| 0.6074 | 0.2260 | 20 | 0.6319 | 0.5821 |
| 0.4355 | 0.3390 | 30 | 0.7153 | 0.4967 |
| 0.5957 | 0.4520 | 40 | 0.7569 | 0.4683 |
| 0.3984 | 0.5650 | 50 | 0.7431 | 0.4616 |
| 0.4795 | 0.9836 | 60 | 0.7361 | 0.4514 |
| 0.3154 | 1.1475 | 70 | 0.7292 | 0.4393 |
| 0.3086 | 1.3115 | 80 | 0.75 | 0.4339 |
| 0.499 | 1.4754 | 90 | 0.7569 | 0.4281 |
| 0.2642 | 1.6393 | 100 | 0.7847 | 0.4281 |
| 0.2173 | 1.8033 | 110 | 0.7708 | 0.4200 |
| 0.3281 | 1.9672 | 120 | 0.7847 | 0.4151 |
| 0.2329 | 3.4211 | 130 | 0.7847 | 0.4172 |
| 0.2891 | 3.6842 | 140 | 0.7847 | 0.4202 |
| 0.3906 | 3.9474 | 150 | 0.7708 | 0.4285 |
| 0.2373 | 4.1026 | 160 | 0.4338 | 0.7778 |
| 0.2144 | 4.3590 | 170 | 0.4312 | 0.7847 |
| 0.2715 | 4.6154 | 180 | 0.4300 | 0.7847 |
| 0.1855 | 4.8718 | 190 | 0.4327 | 0.7917 |
| 0.3506 | 5.1282 | 200 | 0.4304 | 0.7917 |
### Framework versions
- PEFT 0.12.0
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1 |