metadata
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: mnoukhov/pythia410m-sft-tldr
model-index:
- name: pythia410m-test-tldr
results: []
pythia410m-test-tldr
This model is a fine-tuned version of mnoukhov/pythia410m-sft-tldr on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6766
- Rewards/chosen: 0.0321
- Rewards/rejected: -0.0032
- Rewards/accuracies: 0.7656
- Rewards/margins: 0.0353
- Logps/rejected: -103.6910
- Logps/chosen: -103.6910
- Logps/ref Rejected: -82.9119
- Logps/ref Chosen: -104.3332
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: 3e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 1.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logps/ref Rejected | Logps/ref Chosen |
|---|---|---|---|---|---|---|---|---|---|---|---|
| No log | 0.5 | 4 | 0.6336 | 0.1889 | 0.0621 | 0.7656 | 0.1268 | -100.5552 | -100.5552 | -82.9119 | -104.3332 |
| No log | 1.0 | 8 | 0.6766 | 0.0321 | -0.0032 | 0.7656 | 0.0353 | -103.6910 | -103.6910 | -82.9119 | -104.3332 |
Framework versions
- PEFT 0.10.0
- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1