metadata
base_model: meta-llama/Meta-Llama-3-8B
library_name: peft
license: llama3
tags:
- generated_from_trainer
model-index:
- name: sft-chatbot3
results: []
sft-chatbot3
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.8532
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
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 8
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.9836 | 15 | 0.8413 |
| No log | 1.9672 | 30 | 0.7822 |
| No log | 2.9508 | 45 | 0.7713 |
| No log | 4.0 | 61 | 0.7803 |
| No log | 4.9836 | 76 | 0.8245 |
| No log | 5.9672 | 91 | 0.8427 |
| No log | 6.9508 | 106 | 0.8522 |
| No log | 7.8689 | 120 | 0.8532 |
Framework versions
- PEFT 0.13.1
- Transformers 4.43.3
- Pytorch 2.4.0+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1