README.md

metadata

license: apache-2.0
base_model: distilgpt2
tags:
  - generated_from_trainer
datasets:
  - wikitext
metrics:
  - accuracy
model-index:
  - name: clm
    results:
      - task:
          name: Causal Language Modeling
          type: text-generation
        dataset:
          name: wikitext
          type: wikitext
          config: wikitext-2-raw-v1
          split: validation
          args: wikitext-2-raw-v1
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.3767106549364614

clm

This model is a fine-tuned version of distilgpt2 on the wikitext dataset. It achieves the following results on the evaluation set:

• Loss: 3.4326
• Accuracy: 0.3767

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: 3e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 0
• gradient_accumulation_steps: 4
• total_train_batch_size: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
3.585	1.0	145	3.4326	0.3767

Framework versions

• Transformers 4.33.0.dev0
• Pytorch 2.0.1+cu117
• Datasets 2.13.1
• Tokenizers 0.13.3