metadata
library_name: transformers
license: apache-2.0
base_model: tsavage68/Na_M2_1000steps_1e7_SFT
tags:
- trl
- dpo
- generated_from_trainer
model-index:
- name: Na_M2_300steps_1e8rate_01beta_cSFTDPO
results: []
Na_M2_300steps_1e8rate_01beta_cSFTDPO
This model is a fine-tuned version of tsavage68/Na_M2_1000steps_1e7_SFT on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6653
- Rewards/chosen: 0.0172
- Rewards/rejected: -0.0396
- Rewards/accuracies: 0.9100
- Rewards/margins: 0.0568
- Logps/rejected: -80.3192
- Logps/chosen: -47.9599
- Logits/rejected: -2.5356
- Logits/chosen: -2.5482
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-08
- 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: 300
Training results
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.6929 | 0.2667 | 50 | 0.6931 | -0.0010 | -0.0014 | 0.5700 | 0.0003 | -79.9371 | -48.1427 | -2.5355 | -2.5481 |
| 0.6881 | 0.5333 | 100 | 0.6832 | 0.0062 | -0.0142 | 0.6900 | 0.0204 | -80.0656 | -48.0704 | -2.5357 | -2.5482 |
| 0.67 | 0.8 | 150 | 0.6690 | 0.0151 | -0.0343 | 0.9000 | 0.0494 | -80.2661 | -47.9813 | -2.5359 | -2.5485 |
| 0.6726 | 1.0667 | 200 | 0.6633 | 0.0167 | -0.0444 | 0.9500 | 0.0611 | -80.3677 | -47.9656 | -2.5356 | -2.5482 |
| 0.6615 | 1.3333 | 250 | 0.6653 | 0.0172 | -0.0396 | 0.9100 | 0.0568 | -80.3192 | -47.9599 | -2.5356 | -2.5482 |
| 0.667 | 1.6 | 300 | 0.6653 | 0.0172 | -0.0396 | 0.9100 | 0.0568 | -80.3192 | -47.9599 | -2.5356 | -2.5482 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1