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-500
+  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: 35.81
+---
+
+<!-- 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-500
+
+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: 2.1980
+- Rouge1: 35.81
+- Rouge2: 14.9705
+- Rougel: 25.2834
+- Rougelsum: 28.7263
+- Gen Len: 67.1049
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
+| No log        | 1.0   | 32   | 2.2076          | 35.9746 | 14.9571 | 25.2928 | 28.4098   | 66.6931 |
+| No log        | 2.0   | 64   | 2.1939          | 35.7681 | 14.8831 | 25.3243 | 28.4326   | 67.3382 |
+| No log        | 3.0   | 96   | 2.1980          | 35.81   | 14.9705 | 25.2834 | 28.7263   | 67.1049 |
+
+
+### 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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