training completed[dev]: 1024 128

README.md

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+---
+license: apache-2.0
+base_model: facebook/bart-large
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+- wer
+model-index:
+- name: bart_billsum_abstractive_1024_1000
+  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_billsum_abstractive_1024_1000
+
+This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co/facebook/bart-large) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.0789
+- Rouge1: 0.6795
+- Rouge2: 0.4076
+- Rougel: 0.6139
+- Rougelsum: 0.6139
+- Wer: 0.4803
+- Bleurt: -0.0583
+
+## 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: 6
+- eval_batch_size: 6
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 2
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Wer    | Bleurt  |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:------:|:-------:|
+| No log        | 0.14  | 250  | 1.3122          | 0.6345 | 0.3515 | 0.5637 | 0.5638    | 0.5303 | -0.3533 |
+| 2.3005        | 0.27  | 500  | 1.2468          | 0.6452 | 0.3662 | 0.5767 | 0.5767    | 0.5174 | -0.4992 |
+| 2.3005        | 0.41  | 750  | 1.1909          | 0.6513 | 0.3745 | 0.5823 | 0.5823    | 0.5094 | -0.4679 |
+| 1.3108        | 0.55  | 1000 | 1.1685          | 0.6605 | 0.3827 | 0.5928 | 0.5928    | 0.5037 | -0.1431 |
+| 1.3108        | 0.68  | 1250 | 1.1505          | 0.6671 | 0.3894 | 0.5984 | 0.5984    | 0.4996 | -0.0701 |
+| 1.2615        | 0.82  | 1500 | 1.1334          | 0.6616 | 0.3883 | 0.5949 | 0.5949    | 0.4953 | -0.3277 |
+| 1.2615        | 0.96  | 1750 | 1.1226          | 0.6692 | 0.3948 | 0.6035 | 0.6035    | 0.492  | -0.0701 |
+| 1.1939        | 1.09  | 2000 | 1.1148          | 0.6669 | 0.3942 | 0.6007 | 0.6007    | 0.4892 | -0.2128 |
+| 1.1939        | 1.23  | 2250 | 1.1110          | 0.6741 | 0.4003 | 0.6072 | 0.6072    | 0.4884 | -0.3492 |
+| 1.1268        | 1.36  | 2500 | 1.1111          | 0.6746 | 0.4018 | 0.6093 | 0.6094    | 0.4865 | -0.0701 |
+| 1.1268        | 1.5   | 2750 | 1.0927          | 0.6717 | 0.4001 | 0.6054 | 0.6054    | 0.4837 | -0.467  |
+| 1.0977        | 1.64  | 3000 | 1.0840          | 0.6756 | 0.4048 | 0.6099 | 0.61      | 0.4814 | -0.2661 |
+| 1.0977        | 1.77  | 3250 | 1.0834          | 0.673  | 0.4034 | 0.6077 | 0.6077    | 0.4808 | -0.2082 |
+| 1.079         | 1.91  | 3500 | 1.0789          | 0.6795 | 0.4076 | 0.6139 | 0.6139    | 0.4803 | -0.0583 |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

generation_config.json

@@ -0,0 +1,13 @@
+{
+  "_from_model_config": true,
+  "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,
+  "no_repeat_ngram_size": 3,
+  "num_beams": 4,
+  "pad_token_id": 1,
+  "transformers_version": "4.38.2"
+}

runs/Mar28_05-43-40_16ca27b8e13e/events.out.tfevents.1711604638.16ca27b8e13e.631.0

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