End of training

README.md

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+---
+license: apache-2.0
+base_model: sshleifer/distilbart-cnn-6-6
+tags:
+- generated_from_trainer
+datasets:
+- wcep-10
+metrics:
+- rouge
+model-index:
+- name: thesis-bart-finetuned-on-original-wcep
+  results:
+  - task:
+      name: Sequence-to-sequence Language Modeling
+      type: text2text-generation
+    dataset:
+      name: wcep-10
+      type: wcep-10
+      config: roberta
+      split: validation
+      args: roberta
+    metrics:
+    - name: Rouge1
+      type: rouge
+      value: 37.1938
+---
+
+<!-- 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. -->
+
+# thesis-bart-finetuned-on-original-wcep
+
+This model is a fine-tuned version of [sshleifer/distilbart-cnn-6-6](https://huggingface.co/sshleifer/distilbart-cnn-6-6) on the wcep-10 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.9981
+- Rouge1: 37.1938
+- Rouge2: 16.5385
+- Rougel: 26.7997
+- Rougelsum: 30.3278
+- Gen Len: 67.5627
+
+## 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: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
+| 2.0801        | 1.0   | 510  | 2.0119          | 36.476  | 16.0059 | 26.3489 | 29.7099   | 67.9882 |
+| 1.7597        | 2.0   | 1020 | 1.9868          | 36.9333 | 16.3738 | 26.5067 | 30.1156   | 68.3961 |
+| 1.5997        | 3.0   | 1530 | 1.9981          | 37.1938 | 16.5385 | 26.7997 | 30.3278   | 67.5627 |
+
+
+### Framework versions
+
+- Transformers 4.39.3
+- Pytorch 2.1.2
+- Datasets 2.18.0
+- Tokenizers 0.15.2

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": "4.39.3"
+}

model.safetensors

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