metadata
license: llama2
base_model: h2oai/h2ogpt-16k-codellama-7b-instruct
tags:
- generated_from_trainer
model-index:
- name: h2ogpt-16k-codellama-7b-instruct-finetuned-1-2024-03-06-16
results: []
h2ogpt-16k-codellama-7b-instruct-finetuned-1-2024-03-06-16
This model is a fine-tuned version of h2oai/h2ogpt-16k-codellama-7b-instruct on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0141
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: 0.0003
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 64
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.6967 | 1.17 | 20 | 0.4241 |
| 0.2982 | 2.33 | 40 | 0.2148 |
| 0.1461 | 3.5 | 60 | 0.1113 |
| 0.0856 | 4.66 | 80 | 0.0586 |
| 0.0631 | 5.83 | 100 | 0.0419 |
| 0.0577 | 6.99 | 120 | 0.0318 |
| 0.064 | 8.16 | 140 | 0.0464 |
| 0.0444 | 9.33 | 160 | 0.0308 |
| 0.0463 | 10.49 | 180 | 0.0284 |
| 0.0372 | 11.66 | 200 | 0.0276 |
| 0.0345 | 12.82 | 220 | 0.0253 |
| 0.0384 | 13.99 | 240 | 0.0230 |
| 0.0313 | 15.15 | 260 | 0.0201 |
| 0.0246 | 16.32 | 280 | 0.0168 |
| 0.0196 | 17.49 | 300 | 0.0141 |
| 0.0166 | 18.65 | 320 | 0.0140 |
| 0.0146 | 19.82 | 340 | 0.0141 |
Framework versions
- Transformers 4.38.1
- Pytorch 2.2.1+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2