metadata
base_model: unsloth/llama-3-8b-bnb-4bit
library_name: peft
license: llama3
tags:
- trl
- sft
- unsloth
- generated_from_trainer
model-index:
- name: CFcontract_llama3.1-8B-unsloth
results: []
CFcontract_llama3.1-8B-unsloth
This model is a fine-tuned version of unsloth/llama-3-8b-bnb-4bit on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.9835
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: 2
- eval_batch_size: 8
- seed: 3407
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 5
- num_epochs: 6
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.9976 | 206 | 1.3437 |
| No log | 2.0 | 413 | 1.3596 |
| 1.2049 | 2.9976 | 619 | 1.4431 |
| 1.2049 | 4.0 | 826 | 1.5887 |
| 0.5606 | 4.9976 | 1032 | 1.7751 |
| 0.5606 | 5.9855 | 1236 | 1.9835 |
Framework versions
- PEFT 0.12.0
- Transformers 4.45.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.20.1