| | --- |
| | library_name: transformers |
| | license: mit |
| | base_model: openai-community/gpt2-medium |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: tinystories_scrambled_words |
| | results: [] |
| | --- |
| | |
| | <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| | should probably proofread and complete it, then remove this comment. --> |
| |
|
| | [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/ptsvil/tom-training/runs/fxhgekth) |
| | # tinystories_scrambled_words |
| |
|
| | This model is a fine-tuned version of [openai-community/gpt2-medium](https://huggingface.co/openai-community/gpt2-medium) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 3.7107 |
| |
|
| | ## 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: 0.0001 |
| | - train_batch_size: 32 |
| | - eval_batch_size: 32 |
| | - seed: 42 |
| | - gradient_accumulation_steps: 8 |
| | - total_train_batch_size: 256 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - lr_scheduler_warmup_steps: 1 |
| | - num_epochs: 3 |
| | - mixed_precision_training: Native AMP |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:------:|:-----:|:---------------:| |
| | | 4.3727 | 0.1051 | 400 | 4.3237 | |
| | | 4.1849 | 0.2102 | 800 | 4.1539 | |
| | | 4.1369 | 0.3153 | 1200 | 4.0841 | |
| | | 4.0574 | 0.4204 | 1600 | 4.0165 | |
| | | 4.0123 | 0.5255 | 2000 | 3.9716 | |
| | | 3.9874 | 0.6306 | 2400 | 3.9359 | |
| | | 3.9459 | 0.7357 | 2800 | 3.9111 | |
| | | 3.9004 | 0.8408 | 3200 | 3.8865 | |
| | | 3.9493 | 0.9459 | 3600 | 3.8587 | |
| | | 3.8599 | 1.0510 | 4000 | 3.8427 | |
| | | 3.8753 | 1.1561 | 4400 | 3.8281 | |
| | | 3.8352 | 1.2612 | 4800 | 3.8156 | |
| | | 3.8194 | 1.3663 | 5200 | 3.8007 | |
| | | 3.8334 | 1.4714 | 5600 | 3.7884 | |
| | | 3.8279 | 1.5765 | 6000 | 3.7814 | |
| | | 3.8233 | 1.6816 | 6400 | 3.7728 | |
| | | 3.7066 | 1.7867 | 6800 | 3.7629 | |
| | | 3.7625 | 1.8918 | 7200 | 3.7544 | |
| | | 3.7696 | 1.9969 | 7600 | 3.7465 | |
| | | 3.7041 | 2.1020 | 8000 | 3.7424 | |
| | | 3.7223 | 2.2071 | 8400 | 3.7369 | |
| | | 3.7445 | 2.3122 | 8800 | 3.7362 | |
| | | 3.7023 | 2.4173 | 9200 | 3.7291 | |
| | | 3.6926 | 2.5224 | 9600 | 3.7284 | |
| | | 3.7196 | 2.6275 | 10000 | 3.7212 | |
| | | 3.7469 | 2.7326 | 10400 | 3.7183 | |
| | | 3.7082 | 2.8377 | 10800 | 3.7159 | |
| | | 3.7284 | 2.9428 | 11200 | 3.7147 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.44.1 |
| | - Pytorch 2.2.2 |
| | - Datasets 2.18.0 |
| | - Tokenizers 0.19.1 |
| |
|
