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agraharr/finetune-matryoshka-telecom-nli-v1

sourceHugging Faceupdated 4mo agoView on Hugging Face
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finetune-matryoshka-telecom-nli-v1

This model is a fine-tuned version of tomaarsen/mpnet-base-nli-matryoshka on the None dataset.

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: 2e-05
  • —trainbatchsize: 32
  • —evalbatchsize: 8
  • —seed: 42
  • —optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • —lrschedulertype: linear
  • —lrschedulerwarmup_steps: 579
  • —num_epochs: 4

Training results

Framework versions

  • —Transformers 5.9.0
  • —Pytorch 2.12.0+cu130
  • —Datasets 4.8.5
  • —Tokenizers 0.22.2

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Generated by ML Intern

This model repository was generated by ML Intern, an agent for machine learning research and development on the Hugging Face Hub.

  • —Try ML Intern: https://smolagents-ml-intern.hf.space
  • —Source code: https://github.com/huggingface/ml-intern

Usage

python
from transformers import AutoModelForCausalLM, AutoTokenizer

model_id = 'agraharr/finetune-matryoshka-telecom-nli-v1'
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)

For non-causal architectures, replace AutoModelForCausalLM with the appropriate AutoModel class.