Model save
Browse files- README.md +97 -0
- generation_config.json +9 -0
README.md
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---
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library_name: transformers
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license: mit
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base_model: gpt2
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tags:
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- generated_from_trainer
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model-index:
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- name: cadgpt-gpt2-train
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# cadgpt-gpt2-train
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This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0298
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 2
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 8
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- optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 500
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- num_epochs: 2
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 0.2987 | 0.0544 | 200 | 0.1816 |
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| 0.1236 | 0.1088 | 400 | 0.0997 |
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| 0.0876 | 0.1633 | 600 | 0.0692 |
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| 0.0703 | 0.2177 | 800 | 0.0554 |
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| 0.0601 | 0.2721 | 1000 | 0.0531 |
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| 0.0553 | 0.3265 | 1200 | 0.0453 |
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| 0.0514 | 0.3810 | 1400 | 0.0427 |
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| 0.0473 | 0.4354 | 1600 | 0.0403 |
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| 0.0463 | 0.4898 | 1800 | 0.0404 |
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| 0.0461 | 0.5442 | 2000 | 0.0386 |
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| 0.0428 | 0.5986 | 2200 | 0.0376 |
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| 0.0428 | 0.6531 | 2400 | 0.0367 |
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| 0.0395 | 0.7075 | 2600 | 0.0353 |
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| 0.0396 | 0.7619 | 2800 | 0.0351 |
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| 0.0388 | 0.8163 | 3000 | 0.0347 |
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| 0.0383 | 0.8707 | 3200 | 0.0350 |
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| 0.038 | 0.9252 | 3400 | 0.0359 |
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| 0.0371 | 0.9796 | 3600 | 0.0343 |
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| 0.0364 | 1.0340 | 3800 | 0.0328 |
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| 0.0372 | 1.0884 | 4000 | 0.0331 |
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| 0.0363 | 1.1429 | 4200 | 0.0324 |
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| 0.0351 | 1.1973 | 4400 | 0.0334 |
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| 0.0347 | 1.2517 | 4600 | 0.0317 |
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| 0.0342 | 1.3061 | 4800 | 0.0315 |
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| 0.0344 | 1.3605 | 5000 | 0.0314 |
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| 0.0337 | 1.4150 | 5200 | 0.0309 |
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| 0.0338 | 1.4694 | 5400 | 0.0310 |
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| 0.0334 | 1.5238 | 5600 | 0.0308 |
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| 0.0341 | 1.5782 | 5800 | 0.0306 |
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| 0.033 | 1.6327 | 6000 | 0.0319 |
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| 0.0335 | 1.6871 | 6200 | 0.0304 |
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| 0.0322 | 1.7415 | 6400 | 0.0302 |
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| 0.0329 | 1.7959 | 6600 | 0.0301 |
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| 0.0336 | 1.8503 | 6800 | 0.0300 |
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| 0.0328 | 1.9048 | 7000 | 0.0300 |
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| 0.0331 | 1.9592 | 7200 | 0.0298 |
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### Framework versions
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- Transformers 4.56.1
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- Pytorch 2.8.0+cu128
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- Datasets 4.0.0
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- Tokenizers 0.22.0
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generation_config.json
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@@ -0,0 +1,9 @@
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{
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"_from_model_config": true,
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"bos_token_id": 50256,
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"eos_token_id": [
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50256
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],
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"pad_token_id": 50256,
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"transformers_version": "4.56.1"
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}
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