metadata
library_name: transformers
license: llama3
base_model: tsavage68/IE_L3_1000steps_1e6rate_SFT
tags:
- trl
- dpo
- generated_from_trainer
model-index:
- name: IE_L3_150steps_1e7rate_01beta_cSFTDPO
results: []
IE_L3_150steps_1e7rate_01beta_cSFTDPO
This model is a fine-tuned version of tsavage68/IE_L3_1000steps_1e6rate_SFT on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2049
- Rewards/chosen: -0.3084
- Rewards/rejected: -2.8821
- Rewards/accuracies: 0.7400
- Rewards/margins: 2.5737
- Logps/rejected: -104.4487
- Logps/chosen: -85.8823
- Logits/rejected: -0.7993
- Logits/chosen: -0.7183
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: 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.6292 | 0.4 | 50 | 0.5972 | -0.0178 | -0.2247 | 0.7400 | 0.2070 | -77.8745 | -82.9754 | -0.7952 | -0.7369 |
| 0.2432 | 0.8 | 100 | 0.2531 | -0.1984 | -1.9084 | 0.7400 | 1.7099 | -94.7109 | -84.7823 | -0.7935 | -0.7222 |
| 0.1679 | 1.2 | 150 | 0.2049 | -0.3084 | -2.8821 | 0.7400 | 2.5737 | -104.4487 | -85.8823 | -0.7993 | -0.7183 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.0.0+cu117
- Datasets 3.0.0
- Tokenizers 0.19.1