ontochem_bioberti_cross_valid_1

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0598

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: 1e-05
  • train_batch_size: 64
  • eval_batch_size: 64
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • num_epochs: 10

Training results

Training Loss Epoch Step Validation Loss
No log 1.0 5 0.0631
No log 2.0 10 0.0628
No log 3.0 15 0.0623
No log 4.0 20 0.0617
No log 5.0 25 0.0612
No log 6.0 30 0.0607
No log 7.0 35 0.0604
No log 8.0 40 0.0601
No log 9.0 45 0.0600
No log 10.0 50 0.0598

Framework versions

  • Transformers 4.39.3
  • Pytorch 2.2.2+cu121
  • Datasets 2.18.0
  • Tokenizers 0.15.2
Downloads last month
11
Safetensors
Model size
108M params
Tensor type
F32
·
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.