Instructions to use Tuch/results_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Tuch/results_1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("scb10x/llama-3-typhoon-v1.5-8b-instruct") model = PeftModel.from_pretrained(base_model, "Tuch/results_1") - Notebooks
- Google Colab
- Kaggle
results_1
This model is a fine-tuned version of scb10x/llama-3-typhoon-v1.5-8b-instruct on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 1.2106
- eval_runtime: 45.0962
- eval_samples_per_second: 9.956
- eval_steps_per_second: 1.264
- epoch: 9.07
- step: 510
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 12
Framework versions
- PEFT 0.10.0
- Transformers 4.39.1
- Pytorch 2.3.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Downloads last month
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Base model
typhoon-ai/llama-3-typhoon-v1.5-8b-instruct