metadata

library_name: peft
base_model: katuni4ka/tiny-random-qwen1.5-moe
tags:
  - axolotl
  - generated_from_trainer
model-index:
  - name: 1f140cc0-8ab6-497b-b951-0e8bcc772491
    results: []

1f140cc0-8ab6-497b-b951-0e8bcc772491

This model is a fine-tuned version of katuni4ka/tiny-random-qwen1.5-moe on the None dataset. It achieves the following results on the evaluation set:

Loss: 11.7416

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: 0.000211
train_batch_size: 4
eval_batch_size: 4
seed: 110
gradient_accumulation_steps: 8
total_train_batch_size: 32
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 100
training_steps: 9000

Training results

Training Loss	Epoch	Step	Validation Loss
No log	0.0003	1	11.9364
11.7938	0.1516	500	11.7862
11.7802	0.3033	1000	11.7740
11.7721	0.4549	1500	11.7675
11.771	0.6066	2000	11.7623
11.7686	0.7582	2500	11.7571
11.7635	0.9098	3000	11.7530
11.7783	1.0615	3500	11.7503
11.749	1.2131	4000	11.7483
11.7695	1.3648	4500	11.7463
11.7511	1.5164	5000	11.7456
11.7489	1.6681	5500	11.7442
11.7429	1.8197	6000	11.7433
11.7575	1.9713	6500	11.7425
11.7575	2.1230	7000	11.7422
11.7637	2.2746	7500	11.7419
11.7554	2.4263	8000	11.7417
11.7528	2.5779	8500	11.7416
11.7544	2.7295	9000	11.7416

Framework versions

PEFT 0.13.2
Transformers 4.46.0
Pytorch 2.5.0+cu124
Datasets 3.0.1
Tokenizers 0.20.1