training completed[dev]: 512 128

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_extractive_512_500
+  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_extractive_512_500
+
+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: 0.9749
+- Rouge1: 0.7
+- Rouge2: 0.4441
+- Rougel: 0.6408
+- Rougelsum: 0.6409
+- Wer: 0.4458
+
+## 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    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:------:|
+| No log        | 0.13  | 250  | 1.2262          | 0.6523 | 0.3774 | 0.5876 | 0.5877    | 0.5064 |
+| 2.0992        | 0.27  | 500  | 1.1233          | 0.6736 | 0.4029 | 0.6091 | 0.6091    | 0.4868 |
+| 2.0992        | 0.4   | 750  | 1.1033          | 0.6826 | 0.4152 | 0.6187 | 0.6188    | 0.4768 |
+| 1.1914        | 0.53  | 1000 | 1.0645          | 0.6812 | 0.4159 | 0.6178 | 0.618     | 0.4713 |
+| 1.1914        | 0.66  | 1250 | 1.0493          | 0.6845 | 0.4206 | 0.6217 | 0.6219    | 0.4673 |
+| 1.1319        | 0.8   | 1500 | 1.0348          | 0.6906 | 0.427  | 0.6292 | 0.6292    | 0.4649 |
+| 1.1319        | 0.93  | 1750 | 1.0227          | 0.6893 | 0.4289 | 0.6286 | 0.6287    | 0.4596 |
+| 1.0853        | 1.06  | 2000 | 1.0093          | 0.6898 | 0.4297 | 0.6298 | 0.6298    | 0.4575 |
+| 1.0853        | 1.2   | 2250 | 1.0045          | 0.6981 | 0.4381 | 0.6376 | 0.6377    | 0.4547 |
+| 0.9975        | 1.33  | 2500 | 0.9967          | 0.6964 | 0.4394 | 0.6368 | 0.6369    | 0.4511 |
+| 0.9975        | 1.46  | 2750 | 0.9863          | 0.6995 | 0.4419 | 0.6401 | 0.6403    | 0.4495 |
+| 0.997         | 1.6   | 3000 | 0.9844          | 0.7016 | 0.4441 | 0.642  | 0.6421    | 0.4483 |
+| 0.997         | 1.73  | 3250 | 0.9819          | 0.6982 | 0.4431 | 0.6399 | 0.64      | 0.4476 |
+| 0.9651        | 1.86  | 3500 | 0.9746          | 0.6994 | 0.4441 | 0.6404 | 0.6406    | 0.4456 |
+| 0.9651        | 1.99  | 3750 | 0.9749          | 0.7    | 0.4441 | 0.6408 | 0.6409    | 0.4458 |
+
+
+### 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/Mar30_04-38-18_6f1953c717d1/events.out.tfevents.1711773517.6f1953c717d1.3835.0

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