README.md

metadata

library_name: peft
base_model: katuni4ka/tiny-random-dbrx
tags:
  - axolotl
  - generated_from_trainer
model-index:
  - name: e4ffb573-ad5e-424d-b723-f274db2ecca5
    results: []

e4ffb573-ad5e-424d-b723-f274db2ecca5

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: 0.00021
• train_batch_size: 4
• eval_batch_size: 4
• seed: 100
• 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: 500

Training results

Training Loss	Epoch	Step	Validation Loss
No log	0.0003	1	11.5
92.0	0.1529	500	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