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_100steps_1e7rate_03beta_cSFTDPO
results: []
IE_L3_100steps_1e7rate_03beta_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: 0.1816
- Rewards/chosen: -0.5946
- Rewards/rejected: -5.5441
- Rewards/accuracies: 0.7400
- Rewards/margins: 4.9495
- Logps/rejected: -94.1076
- Logps/chosen: -84.7799
- Logits/rejected: -0.7931
- Logits/chosen: -0.7224
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: 100
Training results
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.5177 | 0.4 | 50 | 0.4502 | -0.0545 | -0.6708 | 0.7400 | 0.6163 | -77.8632 | -82.9793 | -0.7959 | -0.7377 |
| 0.1418 | 0.8 | 100 | 0.1816 | -0.5946 | -5.5441 | 0.7400 | 4.9495 | -94.1076 | -84.7799 | -0.7931 | -0.7224 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.0.0+cu117
- Datasets 3.0.0
- Tokenizers 0.19.1