End of training

README.md

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+---
+license: mit
+base_model: facebook/mbart-large-50
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+- sacrebleu
+model-index:
+- name: mBART-TextSimp-LT-BatchSize8-lr5e-5
+  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. -->
+
+# mBART-TextSimp-LT-BatchSize8-lr5e-5
+
+This model is a fine-tuned version of [facebook/mbart-large-50](https://huggingface.co/facebook/mbart-large-50) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4296
+- Rouge1: 0.0605
+- Rouge2: 0.0078
+- Rougel: 0.0593
+- Sacrebleu: 0.044
+- Gen Len: 34.5776
+
+## 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
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 8
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Sacrebleu | Gen Len  |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:--------:|
+| 8.0008        | 1.0   | 104  | 7.0565          | 0.1958 | 0.1282 | 0.1868 | 7.9463    | 511.6945 |
+| 0.3454        | 2.0   | 209  | 0.1874          | 0.6646 | 0.4862 | 0.6559 | 41.0808   | 34.5752  |
+| 0.0728        | 3.0   | 313  | 0.0748          | 0.7063 | 0.5426 | 0.6984 | 48.033    | 34.5752  |
+| 0.0491        | 4.0   | 418  | 0.0630          | 0.7346 | 0.5861 | 0.7248 | 51.6574   | 34.5752  |
+| 0.755         | 5.0   | 522  | 0.7158          | 0.0008 | 0.0    | 0.0009 | 0.0       | 35.5752  |
+| 0.4913        | 6.0   | 627  | 0.4653          | 0.0218 | 0.0008 | 0.0219 | 0.022     | 34.6134  |
+| 0.4771        | 7.0   | 731  | 0.4525          | 0.0385 | 0.0034 | 0.0382 | 0.0308    | 34.926   |
+| 0.4224        | 7.96  | 832  | 0.4296          | 0.0605 | 0.0078 | 0.0593 | 0.044     | 34.5776  |
+
+
+### Framework versions
+
+- Transformers 4.33.0
+- Pytorch 2.1.2+cu121
+- Datasets 2.14.4
+- Tokenizers 0.13.3

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 0,
+  "decoder_start_token_id": 2,
+  "early_stopping": true,
+  "eos_token_id": 2,
+  "forced_eos_token_id": 2,
+  "max_length": 200,
+  "num_beams": 5,
+  "pad_token_id": 1,
+  "transformers_version": "4.33.0"
+}