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_1st_STAGE_SUMMARIZER_v3
+  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_1st_STAGE_SUMMARIZER_v3
+
+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: 1.0858
+- Rouge1: 0.7512
+- Rouge2: 0.5341
+- Rougel: 0.6975
+- Rougelsum: 0.702
+- Wer: 0.3693
+
+## 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: 3
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Wer    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:------:|
+| No log        | 0.21  | 250  | 1.3647          | 0.7195 | 0.4836 | 0.6589 | 0.6639    | 0.4174 |
+| 1.954         | 0.42  | 500  | 1.2505          | 0.7301 | 0.4985 | 0.6698 | 0.6744    | 0.406  |
+| 1.954         | 0.63  | 750  | 1.2094          | 0.7341 | 0.5051 | 0.6764 | 0.6799    | 0.3973 |
+| 1.3635        | 0.84  | 1000 | 1.1771          | 0.7387 | 0.5144 | 0.6837 | 0.688     | 0.3902 |
+| 1.3635        | 1.05  | 1250 | 1.1862          | 0.7422 | 0.5177 | 0.6853 | 0.6907    | 0.3892 |
+| 1.2246        | 1.26  | 1500 | 1.1514          | 0.7416 | 0.5182 | 0.686  | 0.6905    | 0.3869 |
+| 1.2246        | 1.48  | 1750 | 1.1415          | 0.7448 | 0.5219 | 0.6884 | 0.693     | 0.3837 |
+| 1.1592        | 1.69  | 2000 | 1.1235          | 0.7459 | 0.5252 | 0.691  | 0.6953    | 0.38   |
+| 1.1592        | 1.9   | 2250 | 1.1210          | 0.7481 | 0.5284 | 0.6921 | 0.697     | 0.3778 |
+| 1.1084        | 2.11  | 2500 | 1.1074          | 0.7487 | 0.5295 | 0.6939 | 0.6987    | 0.376  |
+| 1.1084        | 2.32  | 2750 | 1.0985          | 0.7505 | 0.5317 | 0.6961 | 0.7009    | 0.3738 |
+| 1.0452        | 2.53  | 3000 | 1.0907          | 0.7507 | 0.5324 | 0.6962 | 0.7006    | 0.3718 |
+| 1.0452        | 2.74  | 3250 | 1.0884          | 0.7512 | 0.5339 | 0.6973 | 0.7023    | 0.3702 |
+| 1.0253        | 2.95  | 3500 | 1.0858          | 0.7512 | 0.5341 | 0.6975 | 0.702     | 0.3693 |
+
+
+### 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/Mar22_05-01-23_9ddc280fa2d1/events.out.tfevents.1711083704.9ddc280fa2d1.2304.0

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