End of training

README.md

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+---
+license: mit
+base_model: facebook/mbart-large-50
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: mbart-large-50-headline_WithIp_category_only
+  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-headline_WithIp_category_only
+
+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: 1.2040
+- Rouge1: 0.0
+- Rouge2: 0.0
+- Rougel: 0.0
+- Rougelsum: 0.0
+- Gen Len: 16.9529
+
+## 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
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| 0.83          | 1.0   | 202  | 1.0506          | 0.0    | 0.0    | 0.0    | 0.0       | 16.8288 |
+| 0.5748        | 2.0   | 404  | 1.0061          | 0.0    | 0.0    | 0.0    | 0.0       | 15.3027 |
+| 0.2279        | 3.0   | 606  | 1.1050          | 0.0    | 0.0    | 0.0    | 0.0       | 17.9256 |
+| 0.101         | 4.0   | 808  | 1.2040          | 0.0    | 0.0    | 0.0    | 0.0       | 16.9529 |
+
+
+### Framework versions
+
+- Transformers 4.42.4
+- Pytorch 2.3.1+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

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": "4.42.4"
+}

model.safetensors

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