mistral_instruct_generation
This model is a fine-tuned version of PY007/TinyLlama-1.1B-step-50K-105b on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 1.4544
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: 0.0002
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_steps: 0.03
- training_steps: 100
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.8114 | 0.1504 | 20 | 1.6254 |
| 1.7672 | 0.3008 | 40 | 1.5598 |
| 1.7203 | 0.4511 | 60 | 1.5108 |
| 1.6804 | 0.6015 | 80 | 1.4726 |
| 1.6322 | 0.7519 | 100 | 1.4544 |
Framework versions
- PEFT 0.10.0
- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
- Downloads last month
- 1
Inference Providers
NEW
This model is not currently available via any of the supported third-party Inference Providers, and
HF Inference API was unable to determine this model’s pipeline type.
Model tree for tcarwash/tinyllama-instruct
Base model
TinyLlama/TinyLlama-1.1B-step-50K-105b