metadata
library_name: peft
base_model: katuni4ka/tiny-random-dbrx
tags:
- axolotl
- generated_from_trainer
model-index:
- name: c7885ef8-4604-4a0f-afee-eaf78babe7ab
results: []
c7885ef8-4604-4a0f-afee-eaf78babe7ab
This model is a fine-tuned version of katuni4ka/tiny-random-dbrx on the None dataset. It achieves the following results on the evaluation set:
- Loss: 11.5
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: 0.0001007
- 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=adam_beta1=0.9,adam_beta2=0.95,adam_epsilon=1e-5
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10
- training_steps: 200
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 23.0 | 0.0002 | 1 | 11.5 |
| 23.0 | 0.0084 | 50 | 11.5 |
| 23.0 | 0.0169 | 100 | 11.5 |
| 23.0 | 0.0253 | 150 | 11.5 |
| 23.0 | 0.0337 | 200 | 11.5 |
Framework versions
- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1