metadata
library_name: peft
license: apache-2.0
base_model: NousResearch/Genstruct-7B
tags:
- axolotl
- generated_from_trainer
model-index:
- name: 23efe6b9-c681-45ca-8b27-2ae5bd46b2ee
results: []
23efe6b9-c681-45ca-8b27-2ae5bd46b2ee
This model is a fine-tuned version of NousResearch/Genstruct-7B on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.2339
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: 0.000212
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Use OptimizerNames.ADAMW_BNB 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: 50
- training_steps: 500
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.0014 | 1 | 3.1059 |
| 3.3796 | 0.0690 | 50 | 2.5303 |
| 3.7733 | 0.1380 | 100 | 2.7617 |
| 3.9363 | 0.2070 | 150 | 1.9593 |
| 3.1219 | 0.2761 | 200 | 2.4845 |
| 3.1824 | 0.3451 | 250 | 1.9057 |
| 3.0697 | 0.4141 | 300 | 1.5008 |
| 2.7207 | 0.4831 | 350 | 1.4267 |
| 2.5935 | 0.5521 | 400 | 1.2924 |
| 2.5588 | 0.6211 | 450 | 1.2419 |
| 2.6587 | 0.6901 | 500 | 1.2339 |
Framework versions
- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1