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-lr1e-4
+  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-lr1e-4
+
+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: 0.0744
+- Rouge1: 0.7931
+- Rouge2: 0.657
+- Rougel: 0.7873
+- Sacrebleu: 56.7266
+- Gen Len: 34.9093
+
+## 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: 0.0001
+- 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 |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| 5.5149        | 1.0   | 104  | 3.9238          | 0.6383 | 0.4681 | 0.6268 | 40.2914   | 36.6301 |
+| 0.0989        | 2.0   | 209  | 0.0807          | 0.6925 | 0.5318 | 0.6852 | 46.8337   | 34.9093 |
+| 0.0666        | 3.0   | 313  | 0.0679          | 0.7014 | 0.5448 | 0.6936 | 47.4249   | 34.9093 |
+| 0.0464        | 4.0   | 418  | 0.0765          | 0.698  | 0.5344 | 0.6859 | 46.7217   | 34.9093 |
+| 0.0344        | 5.0   | 522  | 0.0668          | 0.7604 | 0.6085 | 0.7526 | 49.5391   | 34.9117 |
+| 0.0168        | 6.0   | 627  | 0.0652          | 0.7825 | 0.6391 | 0.7763 | 53.7888   | 34.9093 |
+| 0.0116        | 7.0   | 731  | 0.0674          | 0.7911 | 0.6558 | 0.7856 | 55.8977   | 34.9093 |
+| 0.0036        | 7.96  | 832  | 0.0744          | 0.7931 | 0.657  | 0.7873 | 56.7266   | 34.9093 |
+
+
+### 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"
+}