End of training

README.md

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+---
+license: mit
+base_model: facebook/bart-large-cnn
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: bart-large-cnn-reddit-summary-v2
+  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. -->
+
+# bart-large-cnn-reddit-summary-v2
+
+This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.9771
+- Rouge1: 0.4603
+- Rouge2: 0.1837
+- Rougel: 0.2955
+- Rougelsum: 0.3192
+- Gen Len: 95.826
+
+## 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: 2e-05
+- train_batch_size: 3
+- eval_batch_size: 3
+- seed: 42
+- gradient_accumulation_steps: 3
+- total_train_batch_size: 9
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| 1.904         | 1.0   | 1125 | 1.8620          | 0.4543 | 0.1821 | 0.2935 | 0.3157    | 91.077  |
+| 1.5708        | 2.0   | 2251 | 1.8475          | 0.4557 | 0.183  | 0.2965 | 0.3187    | 90.2955 |
+| 1.3314        | 3.0   | 3377 | 1.8665          | 0.4617 | 0.1871 | 0.2988 | 0.3213    | 94.3165 |
+| 1.1664        | 4.0   | 4502 | 1.9205          | 0.4609 | 0.1849 | 0.2952 | 0.3184    | 98.4065 |
+| 1.0452        | 5.0   | 5625 | 1.9771          | 0.4603 | 0.1837 | 0.2955 | 0.3192    | 95.826  |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.15.0
+- Tokenizers 0.15.0

generation_config.json

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+{
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+  "decoder_start_token_id": 2,
+  "early_stopping": true,
+  "eos_token_id": 2,
+  "forced_bos_token_id": 0,
+  "forced_eos_token_id": 2,
+  "length_penalty": 2.0,
+  "max_length": 142,
+  "min_length": 56,
+  "no_repeat_ngram_size": 3,
+  "num_beams": 4,
+  "pad_token_id": 1,
+  "transformers_version": "4.35.2"
+}

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