File size: 2,659 Bytes
45cdba8 |
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 |
---
library_name: transformers
license: llama3.1
base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
tags:
- trl
- cpo
- generated_from_trainer
model-index:
- name: llama3.1-cpo-full-0911
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. -->
# llama3.1-cpo-full-0911
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 an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5984
- Rewards/chosen: -14.3945
- Rewards/rejected: -15.5836
- Rewards/accuracies: 0.6304
- Rewards/margins: 1.1892
- Logps/rejected: -155.8365
- Logps/chosen: -143.9448
- Logits/rejected: -0.3142
- Logits/chosen: -0.3408
- Nll Loss: 0.3937
## 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-06
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 8
- total_train_batch_size: 128
- total_eval_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen | Nll Loss |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|:--------:|
| 1.5867 | 0.9986 | 432 | 1.5248 | -16.0094 | -16.9746 | 0.6587 | 0.9652 | -169.7457 | -160.0941 | -0.4783 | -0.5128 | 0.4373 |
| 0.7108 | 1.9994 | 865 | 1.5252 | -14.8375 | -15.9459 | 0.6500 | 1.1084 | -159.4588 | -148.3749 | -0.4403 | -0.4684 | 0.4056 |
| 0.4426 | 2.9957 | 1296 | 1.5984 | -14.3945 | -15.5836 | 0.6304 | 1.1892 | -155.8365 | -143.9448 | -0.3142 | -0.3408 | 0.3937 |
### Framework versions
- Transformers 4.44.2
- Pytorch 2.3.1
- Datasets 2.21.0
- Tokenizers 0.19.1
|