metadata
license: apache-2.0
base_model: TinyLlama/TinyLlama-1.1B-Chat-v1.0
tags:
- trl
- sft
- generated_from_trainer
datasets:
- generator
model-index:
- name: Tukan-1.1B-Chat-reasoning-sft-COLA-2.5epr-R8-A16
results: []
Tukan-1.1B-Chat-reasoning-sft-COLA-2.5epr-R8-A16
This model is a fine-tuned version of TinyLlama/TinyLlama-1.1B-Chat-v1.0 on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 1.0216
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: 5e-05
- train_batch_size: 6
- eval_batch_size: 3
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 20
- total_train_batch_size: 120
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 2.5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.1073 | 0.24 | 10 | 1.1011 |
| 1.1024 | 0.47 | 20 | 1.0842 |
| 1.0961 | 0.71 | 30 | 1.0675 |
| 1.066 | 0.94 | 40 | 1.0529 |
| 1.0598 | 1.18 | 50 | 1.0413 |
| 1.0384 | 1.42 | 60 | 1.0326 |
| 1.0356 | 1.65 | 70 | 1.0268 |
| 1.0378 | 1.89 | 80 | 1.0235 |
| 1.0376 | 2.12 | 90 | 1.0220 |
| 1.0309 | 2.36 | 100 | 1.0215 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.2.0a0+gitd925d94
- Datasets 2.14.6
- Tokenizers 0.15.0