End of training

README.md

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+---
+library_name: transformers
+license: mit
+base_model: facebook/bart-large-xsum
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: bart-large-finetuned-billsum
+  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-finetuned-billsum
+
+This model is a fine-tuned version of [facebook/bart-large-xsum](https://huggingface.co/facebook/bart-large-xsum) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.1947
+- Rouge1: 35.1575
+- Rouge2: 27.7021
+- Rougel: 32.9801
+- Rougelsum: 33.6194
+- Gen Len: 31.9873
+
+## 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
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 5
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step  | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
+|:-------------:|:------:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
+| 1.5279        | 0.4221 | 1000  | 1.3638          | 34.2853 | 26.1627 | 31.897  | 32.6399   | 31.999  |
+| 1.3237        | 0.8442 | 2000  | 1.2357          | 34.7055 | 26.7936 | 32.3811 | 33.0823   | 31.9973 |
+| 1.1594        | 1.2664 | 3000  | 1.2246          | 34.6975 | 27.0964 | 32.5326 | 33.1883   | 31.982  |
+| 1.1029        | 1.6885 | 4000  | 1.2092          | 34.4969 | 26.9107 | 32.3644 | 33.0481   | 31.9987 |
+| 1.0461        | 2.1106 | 5000  | 1.1769          | 35.2419 | 27.6038 | 33.0339 | 33.6849   | 31.9903 |
+| 0.9535        | 2.5327 | 6000  | 1.1958          | 34.7138 | 27.2185 | 32.5573 | 33.2043   | 31.9947 |
+| 0.9373        | 2.9548 | 7000  | 1.1600          | 35.1741 | 27.6199 | 32.9618 | 33.6181   | 31.9783 |
+| 0.8506        | 3.3770 | 8000  | 1.1940          | 34.8976 | 27.4455 | 32.7581 | 33.4013   | 31.99   |
+| 0.8341        | 3.7991 | 9000  | 1.1716          | 35.1191 | 27.6856 | 32.9822 | 33.6221   | 31.9853 |
+| 0.8083        | 4.2212 | 10000 | 1.1916          | 35.1839 | 27.7013 | 32.995  | 33.6131   | 31.988  |
+| 0.7749        | 4.6433 | 11000 | 1.1947          | 35.1575 | 27.7021 | 32.9801 | 33.6194   | 31.9873 |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.21.0
+- 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_eos_token_id": 2,
+  "max_length": 62,
+  "min_length": 11,
+  "no_repeat_ngram_size": 3,
+  "num_beams": 6,
+  "pad_token_id": 1,
+  "transformers_version": "4.44.2"
+}

model.safetensors

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 version https://git-lfs.github.com/spec/v1
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+oid sha256:9a5d6ab7a8ae419f5f4b2381206438a3b01b745bb382af96e3bba28bbe01cb0e
 size 1625422896