Model save

README.md

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+---
+base_model: aubmindlab/aragpt2-base
+tags:
+- generated_from_trainer
+metrics:
+- bleu
+- rouge
+model-index:
+- name: res_nw_yem_aragpt2-base
+  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. -->
+
+# res_nw_yem_aragpt2-base
+
+This model is a fine-tuned version of [aubmindlab/aragpt2-base](https://huggingface.co/aubmindlab/aragpt2-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0556
+- Bleu: 0.0625
+- Rouge1: 0.3737
+- Rouge2: 0.1489
+- Rougel: 0.3670
+
+## 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: 5e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 20.0
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Bleu   | Rouge1 | Rouge2 | Rougel |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:------:|
+| 5.8224        | 1.0   | 153  | 0.1129          | 0.0039 | 0.0712 | 0.0029 | 0.0695 |
+| 0.1108        | 2.0   | 306  | 0.0691          | 0.0    | 0.0951 | 0.0078 | 0.0932 |
+| 0.0775        | 3.0   | 459  | 0.0628          | 0.0067 | 0.1291 | 0.0157 | 0.1286 |
+| 0.0678        | 4.0   | 612  | 0.0592          | 0.0086 | 0.1524 | 0.0273 | 0.1492 |
+| 0.0603        | 5.0   | 765  | 0.0566          | 0.0162 | 0.1919 | 0.0413 | 0.1883 |
+| 0.0547        | 6.0   | 918  | 0.0546          | 0.0187 | 0.2239 | 0.0599 | 0.2218 |
+| 0.0498        | 7.0   | 1071 | 0.0540          | 0.0295 | 0.2684 | 0.0733 | 0.2638 |
+| 0.0456        | 8.0   | 1224 | 0.0536          | 0.0292 | 0.2884 | 0.0818 | 0.2841 |
+| 0.0419        | 9.0   | 1377 | 0.0534          | 0.0428 | 0.3139 | 0.1104 | 0.3097 |
+| 0.0385        | 10.0  | 1530 | 0.0534          | 0.0461 | 0.3255 | 0.1118 | 0.3185 |
+| 0.0354        | 11.0  | 1683 | 0.0540          | 0.0473 | 0.3358 | 0.1219 | 0.3288 |
+| 0.0331        | 12.0  | 1836 | 0.0540          | 0.0476 | 0.3483 | 0.1312 | 0.3442 |
+| 0.0308        | 13.0  | 1989 | 0.0552          | 0.0590 | 0.3599 | 0.1439 | 0.3539 |
+| 0.0291        | 14.0  | 2142 | 0.0556          | 0.0625 | 0.3737 | 0.1489 | 0.3670 |
+
+
+### Framework versions
+
+- Transformers 4.45.0.dev0
+- Pytorch 2.3.1+cu121
+- Datasets 2.19.2
+- Tokenizers 0.19.1

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 0,
+  "eos_token_id": 0,
+  "transformers_version": "4.45.0.dev0"
+}

model.safetensors

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