library_name: peft license: apache-2.0 base_model: TinyLlama/TinyLlama-1.1B-Chat-v1.0 tags: - base_model:adapter:TinyLlama/TinyLlama-1.1B-Chat-v1.0 - lora - transformers pipeline_tag: text-generation model-index: - name: theralingua-tinyllama-word_ver2 results: []
theralingua-tinyllama-word_ver2
This model is a fine-tuned version of TinyLlama/TinyLlama-1.1B-Chat-v1.0 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2534
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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- training_steps: 600
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.7092 | 0.8333 | 50 | 1.5127 |
| 0.3505 | 1.6667 | 100 | 0.3409 |
| 0.2875 | 2.5 | 150 | 0.2940 |
| 0.2628 | 3.3333 | 200 | 0.2792 |
| 0.2652 | 4.1667 | 250 | 0.2750 |
| 0.2506 | 5.0 | 300 | 0.2685 |
| 0.2404 | 5.8333 | 350 | 0.2632 |
| 0.2347 | 6.6667 | 400 | 0.2582 |
| 0.2334 | 7.5 | 450 | 0.2547 |
| 0.2465 | 8.3333 | 500 | 0.2542 |
| 0.2393 | 9.1667 | 550 | 0.2529 |
| 0.2489 | 10.0 | 600 | 0.2534 |
Framework versions
- PEFT 0.17.1
- Transformers 4.55.3
- Pytorch 2.6.0+cu124
- Datasets 4.0.0
- Tokenizers 0.21.2