End of training

README.md

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+---
+base_model: Patcas/my_awesome-assert-new
+tags:
+- generated_from_trainer
+model-index:
+- name: plbart-assert-nodocsnew-v3
+  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. -->
+
+# plbart-assert-nodocsnew-v3
+
+This model is a fine-tuned version of [Patcas/my_awesome-assert-new](https://huggingface.co/Patcas/my_awesome-assert-new) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.0234
+
+## 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: 2e-05
+- train_batch_size: 1
+- eval_batch_size: 1
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| No log        | 1.0   | 230  | 1.2145          |
+| No log        | 2.0   | 460  | 1.0346          |
+| 1.3972        | 3.0   | 690  | 0.9960          |
+| 1.3972        | 4.0   | 920  | 1.0188          |
+| 0.4985        | 5.0   | 1150 | 0.9967          |
+| 0.4985        | 6.0   | 1380 | 1.0045          |
+| 0.2457        | 7.0   | 1610 | 1.0079          |
+| 0.2457        | 8.0   | 1840 | 1.0170          |
+| 0.1564        | 9.0   | 2070 | 1.0184          |
+| 0.1564        | 10.0  | 2300 | 1.0234          |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.16.1
+- Tokenizers 0.15.1

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 0,
+  "eos_token_id": 2,
+  "forced_eos_token_id": 2,
+  "pad_token_id": 1,
+  "transformers_version": "4.35.2"
+}

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