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_bertsum_1024_250_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_bertsum_1024_250_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: 1.0191
+- Rouge1: 0.6894
+- Rouge2: 0.4262
+- Rougel: 0.6274
+- Rougelsum: 0.6272
+- Wer: 0.4606
+- Bleurt: -0.5228
+
+## 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        | 0.13  | 250  | 1.2589          | 0.6432 | 0.3644 | 0.5764 | 0.5763    | 0.5168 | -0.3132 |
+| 2.1861        | 0.27  | 500  | 1.1641          | 0.6562 | 0.3824 | 0.591  | 0.591     | 0.4985 | -0.867  |
+| 2.1861        | 0.4   | 750  | 1.1326          | 0.6626 | 0.3917 | 0.5988 | 0.5987    | 0.4904 | -0.5078 |
+| 1.2496        | 0.53  | 1000 | 1.1111          | 0.6657 | 0.3958 | 0.6015 | 0.6014    | 0.4859 | -0.484  |
+| 1.2496        | 0.66  | 1250 | 1.0959          | 0.6708 | 0.4014 | 0.6052 | 0.6051    | 0.4814 | -0.4774 |
+| 1.193         | 0.8   | 1500 | 1.0774          | 0.6724 | 0.4041 | 0.609  | 0.609     | 0.4787 | -0.494  |
+| 1.193         | 0.93  | 1750 | 1.0662          | 0.681  | 0.4127 | 0.6177 | 0.6176    | 0.4742 | -0.4464 |
+| 1.14          | 1.06  | 2000 | 1.0593          | 0.6795 | 0.4157 | 0.6178 | 0.6177    | 0.4709 | -0.5849 |
+| 1.14          | 1.2   | 2250 | 1.0504          | 0.6784 | 0.4158 | 0.6161 | 0.616     | 0.4685 | -0.3624 |
+| 1.0439        | 1.33  | 2500 | 1.0427          | 0.6815 | 0.418  | 0.6196 | 0.6195    | 0.4667 | -0.5998 |
+| 1.0439        | 1.46  | 2750 | 1.0357          | 0.6833 | 0.4198 | 0.6209 | 0.6207    | 0.465  | -0.6198 |
+| 1.045         | 1.6   | 3000 | 1.0286          | 0.6872 | 0.4238 | 0.6251 | 0.6251    | 0.4635 | -0.4564 |
+| 1.045         | 1.73  | 3250 | 1.0248          | 0.6829 | 0.4214 | 0.6222 | 0.6221    | 0.4622 | -0.5228 |
+| 1.0242        | 1.86  | 3500 | 1.0198          | 0.69   | 0.4273 | 0.6284 | 0.6283    | 0.4601 | -0.4592 |
+| 1.0242        | 1.99  | 3750 | 1.0191          | 0.6894 | 0.4262 | 0.6274 | 0.6272    | 0.4606 | -0.5228 |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

generation_config.json

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+{
+  "_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/Mar20_22-23-51_9510d83b2f05/events.out.tfevents.1710973439.9510d83b2f05.4011.0

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