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-BatchSize4-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-BatchSize4-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: 0.0720
+- Rouge1: 0.7898
+- Rouge2: 0.643
+- Rougel: 0.783
+- Sacrebleu: 57.6148
+- Gen Len: 33.6014
+
+## 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: 4
+- eval_batch_size: 4
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 8
+- 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 |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| 0.407         | 1.0   | 209  | 0.1938          | 0.6481 | 0.4813 | 0.6379 | 42.027    | 33.6014 |
+| 0.8377        | 2.0   | 418  | 0.1076          | 0.6446 | 0.4765 | 0.632  | 40.6092   | 33.7852 |
+| 0.0589        | 3.0   | 627  | 0.0561          | 0.7659 | 0.6056 | 0.7581 | 51.836    | 33.6014 |
+| 0.0237        | 4.0   | 836  | 0.0551          | 0.7816 | 0.6292 | 0.774  | 54.6775   | 33.6014 |
+| 0.009         | 5.0   | 1045 | 0.0598          | 0.78   | 0.628  | 0.7723 | 54.4212   | 33.6014 |
+| 0.0059        | 6.0   | 1254 | 0.0648          | 0.7876 | 0.6424 | 0.7805 | 56.5662   | 33.6014 |
+| 0.003         | 7.0   | 1463 | 0.0694          | 0.7883 | 0.6405 | 0.781  | 57.3259   | 33.6014 |
+| 0.0013        | 8.0   | 1672 | 0.0720          | 0.7898 | 0.643  | 0.783  | 57.6148   | 33.6014 |
+
+
+### 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"
+}