File size: 2,883 Bytes
8a14236 6ef813f 8a14236 6ef813f 8a14236 6ef813f 8a14236 6ef813f 8a14236 |
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 86 87 88 89 90 91 |
---
base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
datasets:
- GaetanMichelet/chat-60_ft_task-3
library_name: peft
license: llama3.1
tags:
- alignment-handbook
- trl
- sft
- generated_from_trainer
model-index:
- name: Llama-31-8B_task-3_60-samples_config-2_full
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. -->
# Llama-31-8B_task-3_60-samples_config-2_full
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 GaetanMichelet/chat-60_ft_task-3 dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1641
## 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: 0.0001
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 16
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 50
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-------:|:----:|:---------------:|
| 1.6831 | 0.6957 | 2 | 1.6900 |
| 1.6856 | 1.7391 | 5 | 1.6448 |
| 1.6065 | 2.7826 | 8 | 1.5643 |
| 1.5184 | 3.8261 | 11 | 1.4830 |
| 1.4227 | 4.8696 | 14 | 1.4134 |
| 1.3635 | 5.9130 | 17 | 1.3473 |
| 1.2487 | 6.9565 | 20 | 1.2794 |
| 1.2196 | 8.0 | 23 | 1.2358 |
| 1.1686 | 8.6957 | 25 | 1.2184 |
| 1.1271 | 9.7391 | 28 | 1.2041 |
| 1.1329 | 10.7826 | 31 | 1.1925 |
| 1.1049 | 11.8261 | 34 | 1.1838 |
| 1.067 | 12.8696 | 37 | 1.1764 |
| 1.0693 | 13.9130 | 40 | 1.1707 |
| 1.039 | 14.9565 | 43 | 1.1672 |
| 1.0381 | 16.0 | 46 | 1.1651 |
| 0.994 | 16.6957 | 48 | 1.1641 |
| 1.0091 | 17.7391 | 51 | 1.1648 |
| 0.996 | 18.7826 | 54 | 1.1667 |
| 0.969 | 19.8261 | 57 | 1.1695 |
| 0.9577 | 20.8696 | 60 | 1.1710 |
| 0.9489 | 21.9130 | 63 | 1.1720 |
| 0.9253 | 22.9565 | 66 | 1.1765 |
| 0.9133 | 24.0 | 69 | 1.1808 |
### Framework versions
- PEFT 0.12.0
- Transformers 4.44.0
- Pytorch 2.1.2+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1 |