metadata
library_name: transformers
license: llama3
base_model: tsavage68/Na_L3_100steps_1e6rate_SFT
tags:
- trl
- dpo
- generated_from_trainer
model-index:
- name: Na_L3_350steps_1e7rate_01beta_cSFTDPO
results: []
Na_L3_350steps_1e7rate_01beta_cSFTDPO
This model is a fine-tuned version of tsavage68/Na_L3_100steps_1e6rate_SFT on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0088
- Rewards/chosen: 0.6901
- Rewards/rejected: -4.1623
- Rewards/accuracies: 1.0
- Rewards/margins: 4.8524
- Logps/rejected: -83.1246
- Logps/chosen: -17.9889
- Logits/rejected: -0.9502
- Logits/chosen: -0.8819
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-07
- 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: 350
Training results
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.6442 | 0.2667 | 50 | 0.6172 | 0.0288 | -0.1304 | 1.0 | 0.1591 | -42.8057 | -24.6026 | -0.9518 | -0.8851 |
| 0.2897 | 0.5333 | 100 | 0.2504 | 0.1177 | -1.1534 | 1.0 | 1.2711 | -53.0359 | -23.7135 | -0.9534 | -0.8871 |
| 0.0587 | 0.8 | 150 | 0.0469 | 0.4687 | -2.7071 | 1.0 | 3.1758 | -68.5731 | -20.2031 | -0.9553 | -0.8874 |
| 0.0185 | 1.0667 | 200 | 0.0155 | 0.6102 | -3.6824 | 1.0 | 4.2926 | -78.3254 | -18.7883 | -0.9531 | -0.8845 |
| 0.0097 | 1.3333 | 250 | 0.0096 | 0.6743 | -4.0935 | 1.0 | 4.7678 | -82.4367 | -18.1468 | -0.9518 | -0.8835 |
| 0.0083 | 1.6 | 300 | 0.0088 | 0.6862 | -4.1645 | 1.0 | 4.8507 | -83.1466 | -18.0285 | -0.9504 | -0.8819 |
| 0.0079 | 1.8667 | 350 | 0.0088 | 0.6901 | -4.1623 | 1.0 | 4.8524 | -83.1246 | -17.9889 | -0.9502 | -0.8819 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1