metadata
library_name: peft
license: apache-2.0
base_model: JackFram/llama-68m
tags:
- axolotl
- generated_from_trainer
model-index:
- name: 3b3fa2d5-5b01-4479-9447-d2c53d0f40b6
results: []
3b3fa2d5-5b01-4479-9447-d2c53d0f40b6
This model is a fine-tuned version of JackFram/llama-68m on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.6811
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: 0.000206
- 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 | 0.0001 | 1 | 5.5038 |
| 3.408 | 0.0042 | 50 | 3.4438 |
| 3.0626 | 0.0084 | 100 | 2.9485 |
| 2.8832 | 0.0127 | 150 | 2.9219 |
| 2.8748 | 0.0169 | 200 | 2.8083 |
| 2.9119 | 0.0211 | 250 | 2.8442 |
| 2.6523 | 0.0253 | 300 | 2.7347 |
| 2.7253 | 0.0295 | 350 | 2.7128 |
| 2.5942 | 0.0338 | 400 | 2.7093 |
| 2.72 | 0.0380 | 450 | 2.6901 |
| 3.0129 | 0.0422 | 500 | 2.6811 |
Framework versions
- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1