File size: 1,949 Bytes
1060193 c0952b3 1060193 c0952b3 4b2e31d c0952b3 4b2e31d 08d7270 c0952b3 d0c1e1d c0952b3 4b2e31d c0952b3 bebf537 c0952b3 |
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 |
---
base_model: seanmemery/MLP-FinLLM-7b-it
tags:
- trl
- dpo
- unsloth
- generated_from_trainer
model-index:
- name: MLP-FinLLM-dpo-7b
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. -->
# MLP-FinLLM-dpo-7b
This model is a fine-tuned version of [seanmemery/MLP-FinLLM-7b-it](https://huggingface.co/seanmemery/MLP-FinLLM-7b-it) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6707
- Rewards/chosen: 0.0674
- Rewards/rejected: -0.0381
- Rewards/accuracies: 0.2975
- Rewards/margins: 0.1055
- Logps/rejected: -22.125
- Logps/chosen: -29.875
- Logits/rejected: -5.8438
- Logits/chosen: -5.875
## 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: 32
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- num_epochs: 1
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6367 | 0.69 | 50 | 0.6707 | 0.0674 | -0.0381 | 0.2975 | 0.1055 | -22.125 | -29.875 | -5.8438 | -5.875 |
### Framework versions
- Transformers 4.38.2
- Pytorch 2.1.2+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
|