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: PTS-Bart-Large-CNN
+  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. -->
+
+# PTS-Bart-Large-CNN
+
+This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.1044
+- Rouge1: 0.6648
+- Rouge2: 0.4542
+- Rougel: 0.5743
+- Rougelsum: 0.5743
+- Gen Len: 79.5693
+
+## 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: 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
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| No log        | 1.0   | 274  | 0.8020          | 0.6276 | 0.3994 | 0.5208 | 0.5212    | 77.3942 |
+| 0.7545        | 2.0   | 548  | 0.8005          | 0.6469 | 0.4278 | 0.5488 | 0.5488    | 79.8577 |
+| 0.7545        | 3.0   | 822  | 0.8290          | 0.6533 | 0.4371 | 0.56   | 0.56      | 78.7865 |
+| 0.3296        | 4.0   | 1096 | 0.8996          | 0.6581 | 0.4439 | 0.5636 | 0.5637    | 78.8522 |
+| 0.3296        | 5.0   | 1370 | 0.9740          | 0.6602 | 0.4486 | 0.5644 | 0.5645    | 78.8869 |
+| 0.1575        | 6.0   | 1644 | 1.0374          | 0.6617 | 0.4493 | 0.5689 | 0.5687    | 78.7974 |
+| 0.1575        | 7.0   | 1918 | 1.0972          | 0.6613 | 0.4513 | 0.5706 | 0.5706    | 79.9069 |
+| 0.0868        | 8.0   | 2192 | 1.1044          | 0.6648 | 0.4542 | 0.5743 | 0.5743    | 79.5693 |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.3.0+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_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": "4.41.2"
+}

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runs/Jul02_05-00-10_2a5e7a413ad6/events.out.tfevents.1719896411.2a5e7a413ad6.327.0

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