Training complete

README.md

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+---
+license: mit
+base_model: facebook/mbart-large-50
+tags:
+- summarization
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: mbart-large-50-finetuned-model-hu_1121
+  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-large-50-finetuned-model-hu_1121
+
+This model is a fine-tuned version of [facebook/mbart-large-50](https://huggingface.co/facebook/mbart-large-50) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.6534
+- Rouge1: 35.6227
+- Rouge2: 13.0189
+- Rougel: 22.0402
+- Rougelsum: 26.9175
+
+## 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: 5.6e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 8
+
+### Training results
+
+| Training Loss | Epoch | Step   | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum |
+|:-------------:|:-----:|:------:|:---------------:|:-------:|:-------:|:-------:|:---------:|
+| 2.9553        | 1.0   | 21353  | 2.5450          | 33.3195 | 12.2415 | 21.2029 | 25.3382   |
+| 2.2811        | 2.0   | 42706  | 2.3570          | 33.6149 | 11.975  | 20.9943 | 25.726    |
+| 1.9886        | 3.0   | 64059  | 2.3144          | 34.6221 | 12.2867 | 21.7798 | 26.1901   |
+| 1.7463        | 4.0   | 85412  | 2.3198          | 35.2114 | 12.9183 | 22.215  | 27.1176   |
+| 1.5245        | 5.0   | 106765 | 2.3774          | 35.1147 | 13.1621 | 22.3167 | 26.9264   |
+| 1.3222        | 6.0   | 128118 | 2.4642          | 35.5719 | 13.1532 | 22.0023 | 26.8084   |
+| 1.1456        | 7.0   | 149471 | 2.5673          | 35.9156 | 13.2115 | 22.2552 | 27.2581   |
+| 1.0087        | 8.0   | 170824 | 2.6534          | 35.6227 | 13.0189 | 22.0402 | 26.9175   |
+
+
+### Framework versions
+
+- Transformers 4.35.1
+- Pytorch 2.1.1+cu121
+- Datasets 2.14.6
+- Tokenizers 0.14.1

generation_config.json

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+{
+  "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": "4.35.1"
+}

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runs/Nov21_09-02-48_TENSOR-FLOWER/events.out.tfevents.1700553801.TENSOR-FLOWER.8924.0

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