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: 02_ToS-BART
+  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. -->
+
+# 02_ToS-BART
+
+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: 0.5697
+- Rouge1: 0.6086
+- Rouge2: 0.4577
+- Rougel: 0.5072
+- Rougelsum: 0.5071
+- Gen Len: 110.7293
+
+## 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: 3e-05
+- train_batch_size: 2
+- eval_batch_size: 2
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 6
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len  |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:--------:|
+| No log        | 1.0   | 360  | 0.5018          | 0.5957 | 0.44   | 0.4873 | 0.4876    | 110.8398 |
+| 0.049         | 2.0   | 720  | 0.5468          | 0.5923 | 0.4364 | 0.4812 | 0.4813    | 111.6133 |
+| 0.0789        | 3.0   | 1080 | 0.5157          | 0.6035 | 0.4439 | 0.4933 | 0.4934    | 110.1768 |
+| 0.0789        | 4.0   | 1440 | 0.5905          | 0.5873 | 0.4279 | 0.4781 | 0.4781    | 110.8343 |
+| 0.044         | 5.0   | 1800 | 0.5581          | 0.6046 | 0.4544 | 0.5023 | 0.502     | 110.8674 |
+| 0.0231        | 6.0   | 2160 | 0.5697          | 0.6086 | 0.4577 | 0.5072 | 0.5071    | 110.7293 |
+
+
+### 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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