metadata
library_name: peft
base_model: furiosa-ai/mlperf-gpt-j-6b
tags:
- axolotl
- generated_from_trainer
model-index:
- name: 3f392a82-7317-410a-b9d2-7584c12e3b75
results: []
3f392a82-7317-410a-b9d2-7584c12e3b75
This model is a fine-tuned version of furiosa-ai/mlperf-gpt-j-6b on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3932
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: 0.00021
- 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 | 0.0003 | 1 | 1.1695 |
| 1.0847 | 0.0132 | 50 | 0.5845 |
| 1.1106 | 0.0263 | 100 | 0.5472 |
| 0.9234 | 0.0395 | 150 | 0.4895 |
| 0.8922 | 0.0527 | 200 | 0.5079 |
| 0.8732 | 0.0658 | 250 | 0.4616 |
| 0.8678 | 0.0790 | 300 | 0.4378 |
| 0.8224 | 0.0922 | 350 | 0.4151 |
| 0.7593 | 0.1053 | 400 | 0.4000 |
| 0.7476 | 0.1185 | 450 | 0.3938 |
| 0.8184 | 0.1316 | 500 | 0.3932 |
Framework versions
- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1