README.md

metadata

tags:
  - generated_from_trainer
datasets:
  - massive
metrics:
  - accuracy
model-index:
  - name: hs1024-nh32-nl24_custom
    results:
      - task:
          name: Text Classification
          type: text-classification
        dataset:
          name: massive
          type: massive
          config: en-US
          split: validation
          args: en-US
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.05682582380632145

hs1024-nh32-nl24_custom

This model is a fine-tuned version of on the massive dataset. It achieves the following results on the evaluation set:

• Loss: 3.7997
• Accuracy: 0.0568

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: 0.0002
• train_batch_size: 4
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 8
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 15

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
3.8643	0.35	500	3.8025	0.0516
3.8404	0.69	1000	3.8096	0.0443
3.888	1.04	1500	3.8620	0.0271
3.8807	1.39	2000	3.8388	0.0620

Framework versions

• Transformers 4.35.2
• Pytorch 2.0.1+cu117
• Datasets 2.14.5
• Tokenizers 0.14.0