File size: 2,517 Bytes
dfa82a0 |
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 |
---
license: llama3
base_model: meta-llama/Meta-Llama-3-8B-Instruct
tags:
- trl
- dpo
- generated_from_trainer
model-index:
- name: MedQA_L3_150steps_1e6rate_03beat_CSFTDPO
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. -->
# MedQA_L3_150steps_1e6rate_03beat_CSFTDPO
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 an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5020
- Rewards/chosen: -0.9020
- Rewards/rejected: -1.9172
- Rewards/accuracies: 0.7297
- Rewards/margins: 1.0152
- Logps/rejected: -27.7072
- Logps/chosen: -21.2293
- Logits/rejected: -1.0337
- Logits/chosen: -1.0327
## 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: 2
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- training_steps: 150
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.7072 | 0.0489 | 50 | 0.6474 | 0.1422 | 0.0242 | 0.6505 | 0.1180 | -21.2360 | -17.7487 | -0.9397 | -0.9391 |
| 0.6194 | 0.0977 | 100 | 0.5755 | -0.5279 | -1.1917 | 0.6989 | 0.6638 | -25.2888 | -19.9824 | -1.0174 | -1.0166 |
| 0.5632 | 0.1466 | 150 | 0.5020 | -0.9020 | -1.9172 | 0.7297 | 1.0152 | -27.7072 | -21.2293 | -1.0337 | -1.0327 |
### Framework versions
- Transformers 4.41.0
- Pytorch 2.0.0+cu117
- Datasets 2.19.1
- Tokenizers 0.19.1
|