README.md

metadata

license: other
base_model: varun-v-rao/opt-350m-fp-sick
tags:
  - generated_from_trainer
datasets:
  - snli
metrics:
  - accuracy
model-index:
  - name: opt-350m-fp-sick-lora-snli-model1
    results:
      - task:
          name: Text Classification
          type: text-classification
        dataset:
          name: snli
          type: snli
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.8440357650883966

opt-350m-fp-sick-lora-snli-model1

This model is a fine-tuned version of varun-v-rao/opt-350m-fp-sick on the snli dataset. It achieves the following results on the evaluation set:

• Loss: 0.4156
• Accuracy: 0.8440

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
• train_batch_size: 128
• eval_batch_size: 64
• seed: 8
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.4823	1.0	4292	0.4156	0.8440

Framework versions

• Transformers 4.35.2
• Pytorch 2.0.1+cu118
• Datasets 2.15.0
• Tokenizers 0.15.0