metadata
license: apache-2.0
base_model: TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T
tags:
- xcomet_xl_xxl
- generated_from_trainer
model-index:
- name: sft-xcomet_xl_xxl-chosen-10lp-shuff-full-tiny3
results: []
sft-xcomet_xl_xxl-chosen-10lp-shuff-full-tiny3
This model is a fine-tuned version of TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T on the Unbabel/TowerAligned-v0.1 dataset. It achieves the following results on the evaluation set:
- Loss: 0.7148
- Nll Loss: 0.7148
- Logps/best: -71.0023
- Rewards/chosen: 3.2352
- Rewards/rejected: 2.8073
- Rewards/accuracies: 0.6780
- Rewards/margins: 0.4279
- Logps/rejected: -69.3502
- Logps/chosen: -71.0023
- Logits/rejected: -1.7526
- Logits/chosen: -1.8804
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-05
- train_batch_size: 1
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Nll Loss | Logps/best | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.7347 | 0.2127 | 100 | 0.7451 | 0.7451 | -73.9864 | 2.9368 | 2.5650 | 0.6820 | 0.3718 | -71.7727 | -73.9864 | -1.7676 | -1.8958 |
| 0.7192 | 0.4254 | 200 | 0.7245 | 0.7245 | -71.9551 | 3.1399 | 2.7227 | 0.6760 | 0.4172 | -70.1954 | -71.9551 | -1.7508 | -1.8778 |
| 0.7184 | 0.6381 | 300 | 0.7170 | 0.7170 | -71.2174 | 3.2137 | 2.7824 | 0.6800 | 0.4312 | -69.5984 | -71.2174 | -1.7526 | -1.8800 |
| 0.6793 | 0.8508 | 400 | 0.7148 | 0.7148 | -71.0023 | 3.2352 | 2.8073 | 0.6780 | 0.4279 | -69.3502 | -71.0023 | -1.7526 | -1.8804 |
Framework versions
- Transformers 4.43.3
- Pytorch 2.4.0+cu121
- Datasets 2.17.0
- Tokenizers 0.19.1