metadata
base_model:
- meta-llama/Meta-Llama-3.1-8B-Instruct
- meta-llama/Meta-Llama-3.1-8B
library_name: peft
license: llama3.1
tags:
- generated_from_trainer
- NLP
- fine-tuned
- conversation ai
- chatbot
model-index:
- name: results
results: []
datasets:
- nvl-og/chat
language:
- en
- th
metrics:
- accuracy
results
This model is a fine-tuned version of meta-llama/Meta-Llama-3.1-8B-Instruct on the None dataset. It achieves the following results on the evaluation set:
- Loss: 6.1610
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: 32
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
14.5596 | 0.9978 | 14 | 9.4378 |
9.3982 | 1.9955 | 28 | 6.1610 |
Framework versions
- PEFT 0.12.0
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1