End of training

README.md

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+---
+base_model: Patcas/plbart-works
+tags:
+- generated_from_trainer
+model-index:
+- name: v4-my_awesome
+  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. -->
+
+# v4-my_awesome
+
+This model is a fine-tuned version of [Patcas/plbart-works](https://huggingface.co/Patcas/plbart-works) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.0897
+
+## 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: 30
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| No log        | 1.0   | 230  | 0.9567          |
+| No log        | 2.0   | 460  | 0.8849          |
+| 0.9747        | 3.0   | 690  | 0.8750          |
+| 0.9747        | 4.0   | 920  | 0.9034          |
+| 0.3363        | 5.0   | 1150 | 0.9130          |
+| 0.3363        | 6.0   | 1380 | 0.9173          |
+| 0.1657        | 7.0   | 1610 | 0.9336          |
+| 0.1657        | 8.0   | 1840 | 0.9556          |
+| 0.0957        | 9.0   | 2070 | 0.9811          |
+| 0.0957        | 10.0  | 2300 | 0.9835          |
+| 0.0625        | 11.0  | 2530 | 0.9950          |
+| 0.0625        | 12.0  | 2760 | 0.9918          |
+| 0.0625        | 13.0  | 2990 | 1.0242          |
+| 0.0429        | 14.0  | 3220 | 1.0211          |
+| 0.0429        | 15.0  | 3450 | 1.0181          |
+| 0.0317        | 16.0  | 3680 | 1.0250          |
+| 0.0317        | 17.0  | 3910 | 1.0389          |
+| 0.0244        | 18.0  | 4140 | 1.0467          |
+| 0.0244        | 19.0  | 4370 | 1.0638          |
+| 0.0192        | 20.0  | 4600 | 1.0697          |
+| 0.0192        | 21.0  | 4830 | 1.0614          |
+| 0.0124        | 22.0  | 5060 | 1.0723          |
+| 0.0124        | 23.0  | 5290 | 1.0754          |
+| 0.0122        | 24.0  | 5520 | 1.0809          |
+| 0.0122        | 25.0  | 5750 | 1.0854          |
+| 0.0122        | 26.0  | 5980 | 1.0937          |
+| 0.0085        | 27.0  | 6210 | 1.0886          |
+| 0.0085        | 28.0  | 6440 | 1.0892          |
+| 0.0072        | 29.0  | 6670 | 1.0896          |
+| 0.0072        | 30.0  | 6900 | 1.0897          |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.15.0
+- Tokenizers 0.15.0

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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 size 557112860

runs/Dec17_05-45-17_6401e157db00/events.out.tfevents.1702791919.6401e157db00.3288.3

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