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-tiny64
results: []
sft-xcomet_xl_xxl-chosen-10lp-shuff-full-tiny64
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: 0.7255
- Nll Loss: 0.7255
- Logps/best: -72.0598
- Rewards/chosen: 3.1294
- Rewards/rejected: 2.7165
- Rewards/accuracies: 0.6760
- Rewards/margins: 0.4130
- Logps/rejected: -70.2582
- Logps/chosen: -72.0598
- Logits/rejected: -1.7625
- Logits/chosen: -1.8900
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: 64
- total_train_batch_size: 64
- 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.7157 | 0.4254 | 100 | 0.7343 | 0.7343 | -72.9338 | 3.0420 | 2.6428 | 0.6900 | 0.3992 | -70.9947 | -72.9338 | -1.7591 | -1.8861 |
| 0.7177 | 0.8508 | 200 | 0.7255 | 0.7255 | -72.0598 | 3.1294 | 2.7165 | 0.6760 | 0.4130 | -70.2582 | -72.0598 | -1.7625 | -1.8900 |
Framework versions
- Transformers 4.43.3
- Pytorch 2.4.0+cu121
- Datasets 2.17.0
- Tokenizers 0.19.1