Built with Axolotl

d43fd165-7565-4dc4-865d-5350875ead47

This model is a fine-tuned version of facebook/opt-125m on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 1.0834

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: 0.000203
  • 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 0.0009 1 4.3061
5.2216 0.0467 50 2.7407
4.903 0.0934 100 1.7649
3.4922 0.1401 150 1.4865
3.7239 0.1868 200 1.3496
3.1236 0.2335 250 1.2714
3.0303 0.2802 300 1.1794
3.5367 0.3270 350 1.1459
3.1265 0.3737 400 1.1021
3.2904 0.4204 450 1.0907
2.988 0.4671 500 1.0834

Framework versions

  • PEFT 0.13.2
  • Transformers 4.46.0
  • Pytorch 2.5.0+cu124
  • Datasets 3.0.1
  • Tokenizers 0.20.1
Downloads last month
10
Inference Providers NEW
This model is not currently available via any of the supported Inference Providers.
The model cannot be deployed to the HF Inference API: The model has no pipeline_tag.

Model tree for lesso03/d43fd165-7565-4dc4-865d-5350875ead47

Base model

facebook/opt-125m
Adapter
(388)
this model