|
---
|
|
library_name: peft
|
|
base_model: furiosa-ai/mlperf-gpt-j-6b
|
|
tags:
|
|
- axolotl
|
|
- generated_from_trainer
|
|
model-index:
|
|
- name: 483ad284-6f0d-4157-b816-f6ce53986f8e
|
|
results: []
|
|
---
|
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
should probably proofread and complete it, then remove this comment. -->
|
|
|
|
[<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl)
|
|
<br>
|
|
|
|
# 483ad284-6f0d-4157-b816-f6ce53986f8e
|
|
|
|
This model is a fine-tuned version of [furiosa-ai/mlperf-gpt-j-6b](https://huggingface.co/furiosa-ai/mlperf-gpt-j-6b) on the None dataset.
|
|
It achieves the following results on the evaluation set:
|
|
- Loss: 2.7864
|
|
|
|
## 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: 0.0001004
|
|
- 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 |
|
|
|:-------------:|:------:|:----:|:---------------:|
|
|
| 7.1708 | 0.0001 | 1 | 3.9179 |
|
|
| 5.661 | 0.0032 | 50 | 2.9033 |
|
|
| 6.0804 | 0.0064 | 100 | 2.8373 |
|
|
| 5.4287 | 0.0096 | 150 | 2.8036 |
|
|
| 5.3636 | 0.0128 | 200 | 2.7864 |
|
|
|
|
|
|
### Framework versions
|
|
|
|
- PEFT 0.13.2
|
|
- Transformers 4.46.0
|
|
- Pytorch 2.5.0+cu124
|
|
- Datasets 3.0.1
|
|
- Tokenizers 0.20.1 |
