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_dj_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_dj_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: 0.0798
+- Bleu: 0.1112
+- Rouge1: 0.4634
+- Rouge2: 0.2356
+- Rougel: 0.4600
+
+## 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 |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:------:|
+| 0.435         | 1.0   | 2679  | 0.0899          | 0.0225 | 0.2697 | 0.0681 | 0.2649 |
+| 0.0908        | 2.0   | 5358  | 0.0822          | 0.0495 | 0.3438 | 0.1233 | 0.3394 |
+| 0.0808        | 3.0   | 8037  | 0.0786          | 0.0670 | 0.3835 | 0.1582 | 0.3790 |
+| 0.0738        | 4.0   | 10716 | 0.0765          | 0.0782 | 0.4066 | 0.1798 | 0.4025 |
+| 0.0681        | 5.0   | 13395 | 0.0756          | 0.0880 | 0.4242 | 0.1964 | 0.4204 |
+| 0.0632        | 6.0   | 16074 | 0.0752          | 0.0928 | 0.4343 | 0.2043 | 0.4304 |
+| 0.059         | 7.0   | 18753 | 0.0755          | 0.0996 | 0.4439 | 0.2152 | 0.4401 |
+| 0.0552        | 8.0   | 21432 | 0.0761          | 0.1015 | 0.4500 | 0.2217 | 0.4463 |
+| 0.0517        | 9.0   | 24111 | 0.0766          | 0.1050 | 0.4527 | 0.2250 | 0.4489 |
+| 0.0486        | 10.0  | 26790 | 0.0784          | 0.1093 | 0.4612 | 0.2338 | 0.4578 |
+| 0.0458        | 11.0  | 29469 | 0.0798          | 0.1112 | 0.4634 | 0.2356 | 0.4600 |
+
+
+### 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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 size 540004992