TinyLlama-1.1B-Chat-v1.0-reasoning-sft-full
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: 0.9013
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: 2e-05
- train_batch_size: 4
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 10
- total_train_batch_size: 40
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.9354 | 0.22 | 92 | 0.9211 |
| 0.8752 | 1.16 | 160 | 0.9013 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.3.0.dev20231228+rocm5.7
- Datasets 2.14.6
- Tokenizers 0.14.1
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Model tree for alexredna/TinyLlama-1.1B-Chat-v1.0-reasoning-sft-full
Base model
TinyLlama/TinyLlama-1.1B-Chat-v1.0