metadata
library_name: peft
license: apache-2.0
base_model: Intel/neural-chat-7b-v3-3
tags:
- axolotl
- generated_from_trainer
model-index:
- name: 61e7ffc5-aec3-4bfa-8b8c-2ef75e886727
results: []
61e7ffc5-aec3-4bfa-8b8c-2ef75e886727
This model is a fine-tuned version of Intel/neural-chat-7b-v3-3 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0527
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: 0.000216
- train_batch_size: 4
- eval_batch_size: 4
- seed: 160
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- training_steps: 700
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.0037 | 1 | 4.5437 |
| 2.4806 | 0.3661 | 100 | 0.4702 |
| 5.322 | 0.7323 | 200 | 0.6117 |
| 2.5778 | 1.0984 | 300 | 0.0979 |
| 2.5189 | 1.4645 | 400 | 0.0893 |
| 0.8023 | 1.8307 | 500 | 0.0894 |
| 0.401 | 2.1968 | 600 | 0.0727 |
| 0.3527 | 2.5629 | 700 | 0.0527 |
Framework versions
- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1