Model save

README.md

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+---
+library_name: transformers
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- bleu
+model-index:
+- name: gpt2-wikitext
+  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. -->
+
+# gpt2-wikitext
+
+This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.1672
+- Accuracy: 0.4214
+- Perplexity: 23.7410
+- Bleu: 0.1474
+
+## 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: 64
+- eval_batch_size: 64
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy | Perplexity | Bleu   |
+|:-------------:|:------:|:----:|:---------------:|:--------:|:----------:|:------:|
+| 6.0797        | 0.2806 | 500  | 5.9513          | 0.1886   | 384.2374   | 0.0328 |
+| 5.0682        | 0.5612 | 1000 | 4.9243          | 0.2616   | 137.5896   | 0.0640 |
+| 4.3376        | 0.8418 | 1500 | 4.2176          | 0.3220   | 67.8687    | 0.0837 |
+| 3.946         | 1.1223 | 2000 | 3.8835          | 0.3531   | 48.5917    | 0.1062 |
+| 3.7578        | 1.4029 | 2500 | 3.7072          | 0.3683   | 40.7404    | 0.1239 |
+| 3.6484        | 1.6835 | 3000 | 3.5824          | 0.3790   | 35.9600    | 0.1312 |
+| 3.5434        | 1.9641 | 3500 | 3.4942          | 0.3874   | 32.9255    | 0.1354 |
+| 3.4228        | 2.2447 | 4000 | 3.4280          | 0.3938   | 30.8151    | 0.1332 |
+| 3.3604        | 2.5253 | 4500 | 3.3732          | 0.3989   | 29.1719    | 0.1409 |
+| 3.3288        | 2.8058 | 5000 | 3.3268          | 0.4039   | 27.8495    | 0.1396 |
+| 3.2073        | 3.0864 | 5500 | 3.2888          | 0.4079   | 26.8096    | 0.1410 |
+| 3.2009        | 3.3670 | 6000 | 3.2614          | 0.4109   | 26.0870    | 0.1426 |
+| 3.1787        | 3.6476 | 6500 | 3.2330          | 0.4141   | 25.3543    | 0.1394 |
+| 3.1528        | 3.9282 | 7000 | 3.2094          | 0.4164   | 24.7635    | 0.1459 |
+| 3.0849        | 4.2088 | 7500 | 3.1927          | 0.4182   | 24.3547    | 0.1420 |
+| 3.0471        | 4.4893 | 8000 | 3.1799          | 0.4200   | 24.0448    | 0.1476 |
+| 3.0571        | 4.7699 | 8500 | 3.1672          | 0.4214   | 23.7410    | 0.1474 |
+
+
+### Framework versions
+
+- Transformers 4.49.0
+- Pytorch 2.6.0+cu124
+- Datasets 3.3.2
+- Tokenizers 0.21.0

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 50256,
+  "eos_token_id": 50256,
+  "transformers_version": "4.49.0",
+  "use_cache": false
+}