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_200steps_1e7rate_01beta_cSFTDPO
results: []
Na_M2_200steps_1e7rate_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: 0.0000
- Rewards/chosen: 2.3496
- Rewards/rejected: -12.1508
- Rewards/accuracies: 1.0
- Rewards/margins: 14.5003
- Logps/rejected: -201.4312
- Logps/chosen: -24.6368
- Logits/rejected: -2.3632
- Logits/chosen: -2.3967
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: 200
Training results
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.0 | 0.2667 | 50 | 0.0000 | 2.1916 | -10.0354 | 1.0 | 12.2270 | -180.2773 | -26.2167 | -2.3982 | -2.4261 |
| 0.0 | 0.5333 | 100 | 0.0000 | 2.3125 | -11.6667 | 1.0 | 13.9792 | -196.5901 | -25.0075 | -2.3692 | -2.4015 |
| 0.0 | 0.8 | 150 | 0.0000 | 2.3477 | -12.1123 | 1.0 | 14.4600 | -201.0466 | -24.6557 | -2.3646 | -2.3980 |
| 0.0 | 1.0667 | 200 | 0.0000 | 2.3496 | -12.1508 | 1.0 | 14.5003 | -201.4312 | -24.6368 | -2.3632 | -2.3967 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1